• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Language Proficiency
English
French
German
Contacts
Phone:
+7(495) 772-9590 доб. 22670
E-mail:
Address: Room 329, Building 3,Kochnovskiy Proezd, Moscow
Timetable
SPIN-RSCI: 4864-2308
ORCID: 0000-0003-3284-9001
ResearcherID: I-9058-2012
Scopus AuthorID: 7202573378
Google Scholar
Office hours
Tue.: 2 p.m. - 4 p.m.;Thu.: 2 p.m. - 4 p.m.
Supervisor
I. Arzhantsev
Deputy
I. Makarov
Printable version

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Sergei O. Kuznetsov

  • Tenured Professor (2016)
  • Member of the HSE Academic Council
  • Sergei O. Kuznetsov has been at HSE since 2006.

Education and Degrees

  • 2002

    Doctor of Sciences* in Theoretical Foundations of Computer Science
    Russian Academy of Sciences Dorodnitsyn Computation Center

  • 1990

    Candidate of Sciences* (PhD) in Theoretical Foundations of Computer Science
    All-Russian Insitute for Scientific and Technical Information

  • 1985

    Diploma
    Moscow Institute of Physics and Technology

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.

Professional Interests

Publications

Books
Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, Eds., Series of International Workshops 'What can FCA do for Artificial Intelligence?' (FCA4AI):
FCA4AI 2015,
FCA4AI 2014, CEUR Vol. 1257
FCA4AI 2013, CEUR Vol. 1058
FCA4AI 2012, CEUR Vol. 939
 
 
Gennady Agre, Pascal Hitzler, Adila A. Krisnadhi, Sergei O. Kuznetsov, Eds., Proc. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference (AIMSA 2014), Lecture Notes in Computer Science (Springer), Vol. 8722, 2014.
 
 
Alexander S. Kulikov, Sergei O. Kuznetsov, Pavel A. Pevzner, Eds., Proc. Combinatorial Pattern Matching - 25th Annual Symposium (CPM 2014), Lecture Notes in Computer Science (Springer), Vol. 8486, 2014.
 
 
Edward A. Hirsch, Sergei O. Kuznetsov, Jean-Eric Pin, Nikolay K. Vereshchagin, Eds., Proc. Computer Science - Theory and Applications - 9th International Computer Science Symposium in Russia (CSR 2014), Lecture Notes in Computer Science (Springer), Vol. 8476, 2014.
 
 
Pavel Serdyukov, Pavel Braslavski, Sergei O. Kuznetsov, Jaap Kamps, Stefan M. Rüger, Eugene Agichtein, Ilya Segalovich, Emine Yilmaz, Eds., Proc. 35th European Conference on Information Retrieval (ECIR 2013): Advances in Information Retrieval, Lecture Notes in Computer Science (Springer), Vol. 7814, 2013.
 
 
Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Eds. Proceedings of 2nd International Workshop on Concept Discovery in Unstructured Data 2012 (CDUD 2012). Published by KU-Leuven, ISBN 978-9-08-140991-9
Published online at CEUR-WS (ISSN 1613-0073) in volume 871.
 
 
rsgdgrc_coverKuznetsov, S.O.; Slezak, D.; Hepting, D.H.; Mirkin, B.G., Eds., Proceedings of 13th International: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011), Lecture Notes in Computer Science (LNCS), vol. 6743, Springer, 2011
 
 
premi_coverKuznetsov, S.O.; Kundu, M.K.; Mandal, D.P.; Pal, S.K., Eds., Proceedings of 4th International Conference: Pattern Recognition and Machine Intelligence (PReMI 2011), Lecture Notes in Computer Science(LNCS), vol. 6744, Springer, 2011.
 
 
Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Eds. Proceedings of International Workshop on Concept Discovery in Unstructured Data (CDUD 2011), CEUR Workshop Proceedings, volume 757, 2011.
 
 
Sebastian Rudolph, Frithjof Dau, Sergei O. Kuznetsov, Eds., Proceedings of the 17th International Conference on Conceptual Structures (ICCS'09), Lecture Notes in Artificial Intelligence (LNAI), vol. 5662, Springer, 2009.
Supplementary Proceedings publised at CEUR-ws, Vol. 483
 
 
 Radim Belohlavek, Sergei O. Kuznetsov, Eds., Proceedings of the 6th International Conference on Concept Lattices and Their Applications (CLA 2008), CEUR Workshop Proceedings, Vol. 433, Palacky University, Olomouc, 2008.
 
 
 Sergei O. Kuznetsov, Stefan Schmidt, Proceedings of the 5th International Conference on Formal Concept Analysis (ICFCA'07), Lecture Notes in Artificial Intelligence (LNAI), vol. 4390, Springer, 2007.
 
Editor of special issues of journals
Kuznetsov, Sergei (ed.); Slezak, Dominik (ed.)
Special issue: Selected revised and extended papers presented at the 13th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2011), Moscow, Russia, June 25–27, 2011
International Journal of General Systems, Volume 42, Issue 6, pp. 543-720, 2013
 
 
Annals of Mathematics and Artificial Intelligence
Special Issue: CLA'08 - Concept Lattices and their Applications, Annals of Mathematics and Artificial Intelligence, Volume 59, Number 2, June 2010
Guest Editors: Radim Belohlávek, Sergei O. Kuznetsov
 
Publications in journals and conference proceedings
2015
  • Buzmakov A. V., Kuznetsov S. O., Napoli A., Revisiting pattern structure projections. In: Proc. of the 13th International Conference - Formal Concept Analysis (ICFCA 2015), Vol. 9113, Springer, pp. 200-215, 2015.
  • Metivier J., Lepailleur A., Buzmakov A. V., Poezevara G., Cremilleux B., Kuznetsov S. O., Goff J., Napoli A., Bureau R., Cuissart B., Discovering structural alerts for mutagenicity using stable emerging molecular patterns. In: Journal of Chemical Information and Modeling, Vol. 55. No. 5, 2015.
  • Sergei O. Kuznetsov, Artem Revenko, Interactive error correction in implicative theories. In: International Journal of Approximate Reasoning, Volume 63, August 2015, pp. 89–100, 2015.
  • Ignatov D. I., Gnatyshak D. V., Sergei O. Kuznetsov, Boris G. Mirkin, Triadic Formal Concept Analysis and triclustering: searching for optimal patterns. In: Machine Learning, April, 2015, pp. 1-32.
  • Masyutin A., Kashnitsky Y., Kuznetsov S. O, Lazy Classication with Interval Pattern Structures: Application to Credit Scoring. In: Proc. 4th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2015), pp. 43-54. 
  • Kashnitsky Y., Sergei O. Kuznetsov, Lazy Associative Graph Classification. In: Proc. 4th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2015), pp. 63-74.
2014
  • Galitsky, Boris A. and Ilvovsky, Dmitry and Kuznetsov, Sergei O. and Strok, Fedor, Finding Maximal Common Sub-parse Thickets for Multi-sentence Search. In: Croitoru, M. and Rudolph, S. and Woltran, S. and Gonzales, C., Eds., Proc. Graph Structures For Knowledge Representation And Reasoning (GKR 2013), Lecture Notes in Computer Science (LNCS), Springer, Vol. 8323, pp. 39-57, 2014.
  • Fedor Strok, Boris Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov, Pattern Structure Projections for Learning Discourse Structures. In: Gennady Agre, Pascal Hitzler, Adila A. Krisnadhi, Sergei O. Kuznetsov, Eds., Proc. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference (AIMSA 2014), Lecture Notes in Computer Science (Springer), Vol. 8722, pp. 254-260, 2014.
  • Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, Eds., Proc. 3rd Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2014), CEUR Workshop Proceedings, Vol. 1257, 2014. 
  • Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli, Concept Stability as a Tool for Pattern Selection. In: Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, Eds., Proc. 3rd Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2014), CEUR Workshop Proceedings, Vol. 1257, pp. 51-58, 2014. 
  • Gennady Agre, Pascal Hitzler, Adila A. Krisnadhi, Sergei O. Kuznetsov, Eds., Proc. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference (AIMSA 2014), Lecture Notes in Computer Science (Springer), Vol. 8722, 2014.
  • Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov, Lhouari Nourine, A One-pass Triclustering Approach: Is There any Room for Big Data? In: Karell Bertet, Sebastian Rudolph, Eds., Proc. 11th International Conference on Concept Lattices and Their Applications (CLA 2014), CEUR Workshop Proceedings, Vol. 1252, pp. 231-242, 2014. 
  • Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli, Is Concept Stability a Measure for Pattern Selection? In: Fuad Aleskerov, Yong Shi, Alexander Lepskiy, Eds., Proc. 2nd International Conference on Information Technology and Quantitative Management (ITQM 2014), Procedia Computer Science (Elsevier), pp. 918-927, 2014.
  • Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli: On Evaluating Interestingness Measures for Closed Itemsets. In: Ulle Endriss, Joao Leite, Eds., Proc. 7th European Starting AI Researcher Symposium (STAIRS 2014), Frontiers in Artificial Intelligence and Applications, Vol. 264, IOS Press, pp. 71-80, 2014.
  • Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Amedeo Napoli, Biclustering meets triadic concept analysis. In: Amedeo Napoli, Ed., Annals of Mathematics and Artificial Intelligence, Volume 70, Issue 1-2, pp. 55-79 , 2014.
  • Jonas Poelmans, Dmitry I. Ignatov, Sergei O. Kuznetsov, Guido Dedene, Fuzzy and rough formal concept analysis: a survey. In: International Journal of General Systems, Volume 43, Issue 2, pp. 105-134, 2014.
  • Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli, Scalable Estimates of Concept Stability. In: Cynthia Vera Glodeanu, Mehdi Kaytoue, Christian Sacarea, Eds., Proc. Formal Concept Analysis - 12th International Conference (ICFCA 2014), Lecture Notes in Computer Science (Springer), Vol. 8478, pp. 157-172, 2014.
  • Alexander S. Kulikov, Sergei O. Kuznetsov, Pavel A. Pevzner, Eds., Proc. Combinatorial Pattern Matching - 25th Annual Symposium (CPM 2014), Lecture Notes in Computer Science (Springer), Vol. 8486, 2014.
  • Edward A. Hirsch, Sergei O. Kuznetsov, Jean-Eric Pin, Nikolay K. Vereshchagin, Eds., Proc. Computer Science - Theory and Applications - 9th International Computer Science Symposium in Russia (CSR 2014), Lecture Notes in Computer Science (Springer), Vol. 8476, 2014.
2013
  • Galitsky, B. and Ilvovsky, D. and Kuznetsov, S. and Strok, F., Matching sets of parse trees for answering multi-sentence questions. In: Galia Angelova, Kalina Bontcheva, Ruslan Mitkov, Eds., Proc. of International Conference Recent Advances in Natural Language Processing (RANLP 2013), pp. 285-293, 2013.
  • Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raissi, FCA and pattern structures for mining care trajectories. In: Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, Eds., Proc. 2nd Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2013), CEUR Workshop Proceedings, Vol. 1058, pp. 7-14, 2013.  
  • S.O. Kuznetsov and D. Slezak, Data mining and soft computing. International Journal of General Systems, Vol. 42, No. 6, Special Issue, pp. 543-545, 2013.
  • Sergei O. Kuznetsov, Scalable Knowledge Discovery in Complex Data with Pattern Structures. In: P. Maji, A. Ghosh, M.N. Murty, K. Ghosh, S.K. Pal, Eds., Proc. 5th International Conference Pattern Recognition and Machine Intelligence (PReMI'2013), Lecture Notes in Computer Science (Springer), Vol. 8251, pp. 30-41, 2013. 
  • Claudio Carpineto, Sergei O. Kuznetsov, Amedeo Napoli, Eds., Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval (FCAIR 2013). Published online at CEUR-WS (ISSN 1613-0073) in volume 977, 2013. 
  • Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene, Formal Concept Analysis in knowledge processing: A survey on applications. In: Expert Systems with Applications, Vol. 40. No. 16, pp. 6538-6560, 2013.
  • Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene, Formal Concept Analysis in knowledge processing: A survey on models and techniques. In: Expert Systems with Applications, Vol. 40. No. 16, pp. 6601-6623, 2013.
  • Dmitry V. Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov, From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms. In: Proceedings of the Tenth International Conference on Concept Lattices and Their Applications (CLA'2013), La Rochelle: Laboratory L3i, University of La Rochelle, pp. 249-260, 2013.
  • Ignatov D. I., Kuznetsov S. O., Zhukov L. E., Poelmans J., Can triconcepts become triclusters? In: International Journal of General Systems, Vol. 42. No. 6, pp. 572-593, 2013.
  • Boris A. Galitsky, Dmitry Ilvovsky, Fedor Strok, Sergei O. Kuznetsov, Improving Text Retrieval Efficiency with Pattern Structures on Parse Thickets. In: Claudio Carpineto, Sergei O. Kuznetsov, Amedeo Napoli, Eds., Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval (FCAIR 2013), pp. 6-21, 2013. 
  • Alexey Neznanov, Sergei O. Kuznetsov, Information Retrieval and Knowledge Discovery with FCART. In: Claudio Carpineto, Sergei O. Kuznetsov, Amedeo Napoli, Eds., Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval (FCAIR 2013), pp. 74-82, 2013. 
  • Sergei O. Kuznetsov, Jonas Poelmans, Knowledge representation and processing with formal concept analysis. In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol.3(3), pp. 200-215, 2013.
  • Boris Galitsky, Sergei O. Kuznetsov, Daniel Usikov, Parse Thicket Representation for Multi-sentence Search. In: Pfeiffer, H.D.; Ignatov, D.; Poelmans, J.; Nagarjuna, G., Eds., Proc. 20th International Conference on Conceptual Structures(ICCS 2013), Lecture Notes in Artificial Intelligence (Springer), Vol. 7735, pp. 153-172, 2013. 
  • Boris Galitsky, Sergei O. Kuznetsov, A Web Mining Tool for Assistance with Creative Writing. In: P. Serdyukov, P. Braslavski, S. O. Kuznetsov, J. Kamps, S.M. Rüger, E. Agichtein, I. Segalovich, E. Yilmaz, Eds., Proc. 35th European Conference on Information Retrieval (ECIR 2013): Advances in Information Retrieval, Lecture Notes in Computer Science (Springer), Vol. 7814, pp. 828-831, 2013.
  • Sergei O. Kuznetsov, Fitting Pattern Structures to Knowledge Discovery in Big Data. In: Cellier, Peggy; Distel, Felix; Ganter, Bernhard, Eds., Proc. 11th International Conference on Formal Concept Analysis (ICFCA 2013), Lecture Notes in Artificial Intelligence (Springer), Vol. 7880, pp. 254–266, 2013. 
  • Mikhail A. Babin, Sergei O. Kuznetsov, Computing premises of a minimal cover of functional dependencies is intractable. In: Discrete Applied Mathematics, Vol. 161(6), pp. 742-749, 2013.
2012
  • Ignatov, Dmitry I. and Kuznetsov, Sergei O. and Poelmans, Jonas, Concept-based Biclustering for Internet Advertisement. In: Vreeken, J and Ling, C and Zaki, MJ and Siebes, A and Yu, JX and Goethals, B and Webb, G and Wu, X , Eds., Proc. of 12th IEEE International Conference On Data Mining Workshops (ICDMW 2012), pp.123-130, 2012.
  • Гнатышак Д.В., Игнатов Д.И., Жуков Л.Е., Кузнецов С.О., Миркин Б.Г., Экспериментальное сравнение некоторых алгоритмов трикластеризации. В кн.: Интеллектуализация обработки информации ИОИ: 9-я международная конференция. Черногория, г. Будва, 2012 г. Москва: Торус Пресс, C. 609—612, 2012.
  • Гнатышак Д.В., Игнатов Д.И., Кузнецов С.О., Пульманс Й., Семенов А.В., Анализ данных (Data Mining) онлайн социальных сетей с помощью бикластеризации и трикластеризации. Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012: Труды конференции. Т.2. — Белгород: Изд-во БГТУ, C. 66-73, 2012.
  • Игнатов Д.И., Каминская А.Ю., Константинов А.В., Кузнецов С.О., Система анализа данных коллаборативных платформ CrowDM. Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012: Труды конференции. Т.2. — Белгород: Изд-во БГТУ, C. 74-81, 2012.
  • Poelmans J., Van der Mussele, H., Verheyden, G., Viaene, S., Dedene, G., Kuznetsov, S., Neznanov, A., CORDIET - Healthcare: Extracting knowledge from electronic patient record data. In: Proc. 11th International Nursing Informatics Congress, pp. 321-325, 2012.
  • Sergei O. Kuznetsov, Alexey A. Neznanov, Jonas Poelmans, A System for Knowledge Discovery in Big Dynamical Text Collections. In: Proc. Workshop “What can FCA do for Artificial Intelligence?” (FCA4AI 2012) of the ECAI 2012 conference, Montpellier, France, pp. 81-87, 2012. 
  • Aleksey Buzmakov, Sergei O. Kuznetsov, and Amedeo Napoli, A New Approach to Classification by Means of Jumping Emerging Patterns. In: Proc. 1st Workshop “What can FCA do for Artificial Intelligence?” (FCA4AI 2012) of the ECAI 2012 conference, Montpellier, France, pp. 15-22, 2012. 
  • Artem Revenko, Sergei O. Kuznetsov and Bernhard Ganter, Finding Errors in New Object in Formal Contexts. In: Proc. Workshop “What can FCA do for Artificial Intelligence?” (FCA4AI 2012) of the ECAI 2012 conference, Montpellier, France, pp. 65-72,2012. 
  • Artem Revenko, Sergei O. Kuznetsov, Finding Errors in New Object Intents. In: Szathmary L., Priss U., Eds., Proc. CLA 2012, Universidad de Málaga, Spain, pp. 151-162, 2012.
  • Yasmine Asses, Aleksey Buzmakov, Thomas Bourquard, Sergei O. Kuznetsov, Amedeo Napoli, A Hybrid Classification Approach based on FCA and Emerging Patterns – An application for the classification of biological inhibitors. In: Szathmary L., Priss U., Eds., Proc. CLA 2012, Universidad de Málaga, Spain, pp. 211-222, 2012.
  • Бабин М.А., Кузнецов С.О., Связи между решетками понятий и сложностью их вычисления.Труды МФТИ, том 4 №2(14), С. 73-80, 2012.
  • Jonas Poelmans, Paul Elzinga, Dmitry I. Ignatov, Sergei O. Kuznetsov, Semi-automated knowledge discovery: identifying and profiling human trafficking. In: International Journal of General Systems, Vol. 41, Number 8, pp. 774-804, 2012. 
  • Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Juraj Macko, Wagner Meira Jr., Caracterisation et extraction de biclusters de valeurs similaires avec l'analyse de concepts triadiques. In: Yves Lechevallier, Guy Melancon, Bruno Pinaud, Eds., Proc. Extraction et gestion des connaissances (EGC 2012), RNTI-E-23 Hermann-Editions, pp. 65-76, 2012. 
  • Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov, Human-Centered Text Mining: A New Software System. In: Petra Perner, Ed., Proc. 11th Industrial Conference on Data Mining (ICDM 2012), Lecture Notes in Computer Science (Springer), Vol. 7377, pp. 258-272, 2012. 
  • Jonas Poelmans, Dmitry I. Ignatov, Stijn Viaene, Guido Dedene, Sergei O. Kuznetsov, Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research. In: Petra Perner, Ed., Proc. 11th Industrial Conference on Data Mining (ICDM 2012), Lecture Notes in Computer Science (Springer), Vol. 7377, pp. 273-287, 2012. 
  • M.A. Babin, S.O. Kuznetsov, Approximating Concept Stability. In: F.Domenach, D.Ignatov, J.Poelmans, Eds., Proc. 10th International Conference on Concept Analysis (ICFCA 2012), Lecture Notes in Artificial Intelligence (Springer), Vol. 7278, 2012. 
  • A.V. Revenko, S.O. Kuznetsov, Attribute Exploration of Properties of Functions on Ordered Sets. Fundamenta Informaticae, Volume 115, Issue 4, pp. 377-394, 2012. 
  • V.V. Pankratieva, S.O. Kuznetsov, Relations between Proto-Fuzzy Concepts, Crisply Generated Fuzzy Concepts and Pattern Structures. Fundamenta Informaticae, Volume 115, Issue 4, pp. 265-277, 2012. 
2011
  • Lev Itskovich, Sergei Kuznetsov, Machine Learning Methods in Character Recognition. In: S.Kuznetsov, D.Slezak, D.Hepting, B.Mirkin, Eds., Proc. 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2011), Lecture Notes in Computer Science, Vol. 6743, pp. 322-329, 2011.
  • Sergei O. Kuznetsov, Computing Graph-Based Lattices from Smallest Projections. In: Proc. 1st International Conference on Knowledge Processing in Practice (KPP 2007), Lecture Notes in Artificial Intelligence (Springer), Vol. 6581, pp. 35-47, 2011. 
  • Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Wagner Meira Jr., Amedeo Napoli, Mining Biclusters of Similar Values with Triadic Concept Analysis. In: Proc. 8th International Conference on Concept Lattices and Their Applications (CLA 2011), INRIA Nancy - Grand Est and LORIA, pp. 175 - 190, 2011. 
  • М.А. Бабин, С.О. Кузнецов, О теоретико-решеточной интерпретации задач поиска гипотез и зависимостей. Журнал Научно-техническая информация (НТИ), Сер. 2, № 10, 2011.
  • Sergei O. Kuznetsov, Dominik Slezak, Daryl H. Hepting, Boris Mirkin, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. In: S.Kuznetsov, D.Slezak, D.Hepting, B.Mirkin, Eds., Proc. 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2011),  Lecture Notes in Computer Science, Vol. 6743, 2011.
  • P. Agarwal, Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Geraldine Polaillon, Symbolic Galois Lattices with Pattern Structures. In: S.Kuznetsov, D.Slezak, D.Hepting, B.Mirkin, Eds., Proc. 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2011),  Lecture Notes in Computer Science, Vol. 6743, pp. 191-198, 2011.
  • Dmitry I. Ignatov, Sergei O. Kuznetsov, Ruslan A. Magizov and Leonid E. Zhukov, From Triconcepts to Triclusters. In: S.Kuznetsov, D.Slezak, D.Hepting, B.Mirkin, Eds., Proc. 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2011),  Lecture Notes in Computer Science, Vol. 6743, p. 257-264, 2011. 
  • Sergei O. Kuznetsov, Deba Prasad Mandal, Malay Kumar Kundu, Sankar K. Pal, Pattern Recognition and Machine Intelligence. In: S.Kuznetsov, D.Mandal, M.Kundu, S.Pal, Eds., Proc. 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2011), Lecture Notes in Computer Science (Springer), Vol. 6744, 2011.
  • Boris Galitsky, Gabor Dobrocsi, Josep Lluis de la Rosa, Sergei O. Kuznetsov, Using Generalization of Syntactic Parse Trees for Taxonomy Capture on the Web. In: Simon Andrews, Simon Polovina, Richard Hill, Babak Akhgar, Eds., Proc. 19th International Conference on Conceptual Structures (ICCS 2011), Lecture Notes in Computer Science (Springer), Vol. 6828, pp. 104-117, 2011. 
  • Jonas Poelmans, Paul Elzinga, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov, A Concept Discovery Approach for Fighting Human Trafficking and Forced Prostitution. In: Simon Andrews, Simon Polovina, Richard Hill, Babak Akhgar, Eds., Proc. 19th International Conference on Conceptual Structures (ICCS 2011), Lecture Notes in Computer Science (Springer), Vol. 6828, pp. 201-214, 2011. 
  • Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene, Sergei O. Kuznetsov, Text Mining Scientific Papers: a Survey on FCA-based Information Retrieval Research. In: Proc. 11th Industrial Conference on Data Mining (ICDM 2011), pp. 82-96, 2011. 
  • M. Kaytoue, S. O. Kuznetsov, and A. Napoli, Revisiting Numerical Pattern Mining with Formal Concept Analysis. In: Proc. 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 1342-1347, 2011. 
  • Jonas Poelmans, Guido Dedene, peter Eklund, Stijn Viaene, Monique Snoeck, Sergei Kuznetsov, Extending Formal concept Analysis with a Second Ordering Relationship on Concepts: a Software Engineering Case Study. In: Proc. 9th International Conference Formal Concept Analysis (ICFCA 2011), Lecture Notes in Artificial Intelligence (Springer), Vol. 6628, pp. 86-101, 2011.
  • Mikhail A. Babin and Sergei O. Kuznetsov, Enumerating Minimal Hypotheses and Dualizing Monotone Boolean Functions on Lattices. In: Proc. 9th International Conference Formal Concept Analysis (ICFCA 2011), Lecture Notes in Artificial Intelligence (Springer), Vol. 6628, pp. 42-48, 2011. 
  • Mehdi Kaytoue, Sergei O. Kuznetsov, and Amedo Napoli, Biclustering Numerical Data in Formal Concept Analysis. In: Formal Concept Analysis, Proc. 9th International Conference (ICFCA 2011), Lecture Notes in Artificial Intelligence (Springer), Vol. 6628, pp. 135-150, 2011. 
  • M. Kaytoue, S.O. Kuznetsov, A. Napoli, S. Duplessis, Mining gene expression data with pattern structures in formal concept analysis. Information Sciences, Volume 181, Issue 10, 15 May 2011, pp. 1989-2001, Information Science, Special Issue on Information Engineering Applications Based on Lattices, Elsevier, New York, 2011. 
  • Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Stijn Viaene, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene, Concept Relation Discovery and Innovation Enabling Technology (CORDIET). In: CEUR Workshop proceedings Vol-757, CDUD'11 - Concept Discovery in Unstructured Data, pp. 53-62, 2011. 
2010
  • M. Kaytoue, Z. Assaghir, A. Napoli, S. Kuznetsov, Embedding Tolerance Relations in Formal Concept Analysis: An Application in Information Fusion. In: Jimmy Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, Aijun An, Eds., Proc. 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp. 1689-1692, 2010.  
  • B.Galitsky, G. Dobrocsi, J.L. de la Rosa, S.O. Kuznetsov, From Generalization of Syntactic Parse Trees to Conceptual Graphs. In: M. Croitoru, S. Ferre, D. Lukose, Eds., Conceptual Structures: From Information to Intelligence, Proc. 18th International Conference on Conceptual Structures (ICCS 2010), Lecture Notes in Artificial Intelligence (Springer), vol. 6208, pp. 185-190, 2010. 
  • Mikhail A. Babin, Sergei O. Kuznetsov, On Links between Concept Lattices and Related Complexity Problems. In: L. Kwuida, B. Sertkaya, Eds., Formal Concept Analysis, Proc. 8th International Conference (ICFCA 2010), Lecture Notes in Artificial Intelligence (Springer), vol. 5986, pp. 138-144, 2010. 
  • Artem Revenko and Sergei O. Kuznetsov, Attribute Exploration of Properties of Functions on Ordered Sets. In: Proc. 7th International Conference on Concept Lattices and Their Applications (CLA 2010), University of Sevilla, pp. 311-324, 2010.  
  • Mikhail Babin and Sergei O. Kuznetsov, Recognizing Pseudo-Intents is coNP-complete. In: Proc. 7th International Conference on Concept Lattices and Their Applications (CLA 2010), University of Sevilla, CEUR Workshop Proceedings, Vol. 672, pp. 294-301, 2010. 
  • Vera Pankratieva, Sergei O. Kuznetsov, Relations between Proto-fuzzy Concepts, Crisply Generated Fuzzy Concepts, and Interval Pattern Structures. In: Proc. 7th International Conference on Concept Lattices and Their Applications (CLA 2010), University of Sevilla, pp. 50-59, 2010. 
  • Игнатов Д.И., Кузнецов С.О., Бикластеризация объектно-признаковых данных на основе решеток замкнутых множеств. Труды 12-й Национальной Конференции по Искусственному Интеллекту (КИИ 2010), М., Физматлит, Т. 1., С.175-182, 2010.
  • Галицкий Б.А., Дремов Д.А., Кузнецов С.О., Повышение релевантности мета-поиска с использованием деревьев синтаксического разбора. Труды 12-й Национальной Конференции по Искусственному Интеллекту (КИИ 2010), М., Физматлит, Т. 1., С.261-266, 2010.
  • Галицкий Б.А., Кузнецов С.О., Якимович С.В., Семантическая классификация на основе обучения по деревьям синтаксического разбора. Труды 12-й Национальной Конференции по Искусственному Интеллекту (КИИ 2010), М., Физматлит, Т. 1, С.267-273, 2010.
  • Ицкович Л.А., Кузнецов С.О., Методы машинного обучения в задаче распознавания символов. Труды 12-й Национальной Конференции по Искусственному Интеллекту (КИИ 2010), М., Физматлит, Т. 2, С.124-132, 2010.
2009
  • Sergei O. Kuznetsov, Dmitry I. Ignatov, Concept Stability for Constructing Taxonomies of Web-site Users. CoRR abs/0905.1424, 2009.
  • Dmitry I. Ignatov, Sergei O. Kuznetsov, Concept-based Recommendations for Internet Advertisement. CoRR abs/0906.4982, 2009. 
  • Sergei O. Kuznetsov, Pattern Structures for Analyzing Complex Data. In: H.Sakai et al.,Eds., Proc. 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2009), Lecture Notes in Artificial Intelligence (Springer), Vol. 5908, pp. 33-44, 2009. 
  • Dmitry I. Ignatov, Sergei O. Kuznetsov, Frequent Itemset Mining for Clustering Near Duplicate Web Documents. In: Sebastian Rudolph, Frithjof Dau, Sergei O. Kuznetsov, Eds., Proc. 17th International Conference on Conceptual Structures (ICCS 2009), Lecture Notes in Artificial Intelligence (Springer), Vol. 5662, pp. 185-200, 2009.  
  • Mehdi Kaytoue, Sebastien Duplessis, Sergei O. Kuznetsov, Amedeo Napoli, Two FCA-Based Methods for Mining Gene Expression Data. In: S.Ferre, S.Rudoplh, Eds., Proc. 7th International Conference on Formal Concept Analysis (ICFCA 2009), Lecture Notes in Artificial Intelligence (Springer), Vol. 5548, pp. 251-266, 2009. 
2008
  • Galitsky, B. and Kuznetsov, S.O. and Kovalerchuk, B., Argumentation vs meta-argumentation for the assessment of multi-agent conflict. In: AAAI Workshop - Technical Report, Vol. WS-08-07, pp. 60-67, 2008.
  • Boris A. Galitsky, Sergei O. Kuznetsov, Learning Communicative Actions of Conflicting Human Agents. Journal Experimental and Theoretical Artificial Intelligence, Vol. 20, no. 4, pp. 277-317, 2008.  
  • Dmitry I. Ignatov, Sergei O. Kuznetsov, Concept-based Recommendations for Internet Advertisement. In: Belohlavek R., Kuznetsov S.O., Eds., Proc. 6th International Conference on Concept Lattices and Their Applications (CLA 2008), Palacky University, pp. 157-167, 2008. 
  • Д.И. Игнатов, С.О. Кузнецов, Методы разработки данных (Data Mining) для рекомендательной системы Интернет-рекламы. Труды 11-й Национальной Конференции по Искусственному Интеллекту (КИИ 2008), г. Дубна, 2008.
  • Boris A. Galitsky, Sergei O. Kuznetsov, Scenario Argument Structure vs Individual Claim Defeasibility: What Is More Important for Validity Assessment? In: P. Eklund, O. Haemmerle, Eds., Proc. 16th International Conference on Conceptual Structures (ICCS 2008), Lecture Notes in Artificial Intelligence (Springer), Vol. 5113, pp. 282-296, 2008.
  • Bernhard Ganter, Sergei O. Kuznetsov, Scale Coarsening as Feature Selection. In: R.Medina, S.Obiedkov, Eds., Proc. 6th International Conference on Formal Concept Analysis (ICFCA 2008), Lecture Notes in Artificial Intelligence (Springer), Vol. 4933, pp. 217-228, 2008. 
  • Sergei O. Kuznetsov, Sergei A. Obiedkov, Some Decision and Counting Problems of the Duquenne-Guigues Basis of Implications. Discrete Applied Mathematics Vol. 156, no. 11, pp. 1994-2003, 2008.  
2007
  • С.А. Кедров, С.О. Кузнецов, Исследование групп пользователей интернет-ресурсами методами анализа формальных понятий и разработки данных (Data Mining). Бизнес-Информатика, 2007, № 1, сс. 45-51, 2007.
  • Sergei O. Kuznetsov, On Stability of a Formal Concept. Annals of Mathematics and Artificial Intelligence, Vol. 49, pp.101-115, 2007. 
  • Laszlo Szathmary, Amedeo Napoli, and Sergei O. Kuznetsov, ZART: A Multifunctional Itemset Mining Algorithm. In: J.Diatta, P. Eklund, M. Liquiere, Eds., Proc. 5th International Conference on Concept Lattices and Their Applications (CLA 2007), Montpellier, pp. 26-37, 2007. 
  • Sergei O. Kuznetsov, Sergei Obiedkov and Camille Roth, Reducing the Representation Complexity of Lattice-Based Taxonomies. In: U. Priss, S. Polovina, R. Hill, Eds., Proc. 15th International Conference on Conceptual Structures (ICCS 2007), Lecture Notes in Artificial Intelligence (Springer), Vol. 4604, pp. 241-254, 2007. 
  • Boris Galitsky, Boris Kovalerchuk, and Sergei O. Kuznetsov, Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs. In: U. Priss, S. Polovina, R. Hill, Eds., Proc. 15th International Conference on Conceptual Structures (ICCS 2007), Lecture Notes in Artificial Intelligence (Springer), Vol. 4604, pp. 387- 400, 2007. 
  • Sergei O. Kuznetsov, D.I. Ignatov, Concept Stability for Constructing Taxonomies of Web-site users. In: S. Obiedkov, C. Roth, Eds., Proc. Social Network Analysis and Conceptual Structures: Exploring Opportunities, Clermont-Ferrand, 2007. 
  • B. A. Galitsky, Sergei O. Kuznetsov, D.V. Vinogradov, Applying hybrid reasoning to mine for associative features in biological data. Journal of Biomedical Information, Vol. 40, Issue 3, pp. 203-220, 2007. 
2006
  • С.О. Кузнецов, М.В. Самохин, Н.В. Харчевникова, Прогнозирование контрпродуктивных свойств химических соединений на основе представления молекул помеченными графами: сравнительный анализ нескольких подходов. Часть 1: Описание подходов. Научно-техническая информация (НТИ), Сер. 2, 2006, № 1, С. 1-8.
  • С.О. Кузнецов, М.В. Самохин, Н.В. Харчевникова, Прогнозирование контрпродуктивных свойств химических соединений на основе представления молекул помеченными графами: сравнительный анализ нескольких подходов. Часть 2: Анализ экспериментов. Научно-техническая информация (НТИ), Сер. 2, 2006, № 2, С. 1-10.
  • С.О. Кузнецов, Предикаты ДСМ-метода на языке соответствий Галуа. Научно-техническая информация (НТИ), Сер. 2, 2006, № 12, С. 12-16.
  • Sergei O. Kuznetsov, Sergei A.Obiedkov, Counting Pseudo-intents and #P-completeness. In: R. Missaoui, J. Schmid, Eds., Proc. 4th International Conference on Formal Concept Analysis (ICFCA 2006), Lecture Notes in Artificial Intelligence (Springer), Vol. 3874, pp. 306-308, 2006. 
  • B. A. Galitsky, Sergei O. Kuznetsov, and D. Peterson, Case-Based Analysis of the Scenarios of Multiagent Interaction. Expert Update (Selected Papers from 9th UK CBR Workshop), Vol. 8, No. 3, pp. 9-15.
2005
  • С.О. Кузнецов, М.В. Самохин, Обучение на помеченных графах и их проекциях. Труды конференции САИТ 2005, Переславль-Залесский, 2005. 
  • С.О. Кузнецов, Д.И. Игнатов, С.А. Объедков и М.В. Самохин, Порождение кластеров документов-дубликатов: подход, основанный на поиске частых замкнутых множеств признаков. Сб. работ стипендиатов, Яндекс, 2005. 
  • S.O. Kuznetsov, Galois Connections in Data Analysis: Contributions from the Soviet Era and Modern Russian Research. In: B. Ganter, G. Stumme, R. Wille, Eds., Formal Concept Analysis: Foundations and Applications, Lecture Notes in Artificial Intelligence (Springer), State-of-the Art Ser., Vol. 3626, pp. 196-225., 2005. 
  • S.O. Kuznetsov and M.V. Samokhin, Learning Closed Sets of Labeled Graphs for Chemical Applications. In: Proc. 15th Conference on Inductive Logic Programming (ILP 2005), Lecture Notes in Artificial Intelligence (Springer), Vol.3625, pp.190-208., 2005. 
  • B.A. Galitsky, S.O. Kuznetsov, and M.V. Samokhin, Analyzing Conflicts with Concept-Based Learning. In: F. Dau, M.-L. Mugnier, Eds., Proc. 13th International Conference on Conceptual Structures (ICCS 2005), Lecture Notes in Artificial Intelligence (Springer), Vol. 3596, pp.307-322, 2005.  
2004
  • С.О. Кузнецов, Методы теории решеток и анализа формальных понятий в машинном обучении. Новости Искусственного Интеллекта, 2004, № 3, С. 19-31.
  • S.O. Kuznetsov, On the Intractability of Computing the Duquenne-Guigues Base. Journal of Universal Computer Science, 2004, vol. 10, no. 8, pp. 927-933. 
  • S.O. Kuznetsov, Complexity of Learning in Concept Lattices from Positive and Negative Examples. Discrete Applied Mathematics, 2004, no. 142(1-3), pp. 111-125.  
  • B. Ganter, P.A. Grigoriev, S.O. Kuznetsov, and M.V. Samokhin, Concept-based Data Mining with Scaled Labeled Graphs. In: K.E. Wolff, H. D. Pfeiffer, H. S. Delugach, Eds., Proc. 12th International Conference on Conceptual Structures (ICCS 2004), Lecture Notes in Artificial Intelligence (Springer), Vol. 3127, pp. 94-108, 2004. 
  • S.O. Kuznetsov, Machine Learning and Formal Concept Analysis. In: P. Eklund, Ed., Proc. 2nd International Conference on Formal Concept Analysis (ICFCA 2006), Lecture Notes in Artificial Intelligence (Springer), Vol. 2961, pp. 287-312, 2004. 
  • S.O. Kuznetsov, Algorithms for Computing Closed Sets: A Review. In: Workshop Evaluation des Algorithmes de Generation de Concept et de Regles, Clermont-Ferrand at the ECG Conference, January 2004.
2003
  • V.G. Blinova, D.A. Dobrynin, V.K. Finn, S.O. Kuznetsov, and E.S. Pankratova, Toxicology analysis by means of the JSM-method. Bioinformatics, vol. 19(10), pp. 1201-1207, 2003.  
  • B. Ganter and S.O. Kuznetsov, Hypotheses and Version Spaces. In: A. de Moor, W. Lex, and B.Ganter, Eds., Proc. 10th International Conference on Conceptual Structures (ICCS 2003), Lecture Notes in Artificial Intelligence (Springer), Vol. 2746, pp. 83-95, 2003. 
  • S.O. Kuznetsov, Stability of a Formal Concept. In: E. San-Juan, Ed., Proc. 4th Journee d'Informatique Messine (JIM'03), Metz , 2003.
2002
  • С.О. Кузнецов, М.В. Самохин, Порождение ДСМ-гипотез для данных, представленных раскрашенными графами. Труды 8-й Национальной Конференции по Искусственному Интеллекту (КИИ 2002), Коломна, 2002.
  • S.O. Kuznetsov and S.A. Obiedkov, Comparing Performance of Algorithms for Generating Concept Lattices. Journal of Experimental and Theoretical Artificial Intelligence, Vol. 14, no. 2-3, pp. 189-216, 2002. 
2001
  • С.О. Кузнецов, С.А. Объедков, Алгоритмы построения множества всех понятий формального контекста и его диаграммы Хассе. Известия Академии Наук, Теория и системы управления, 2001, № 1-2, С. 120-129.
    Kuznetsov, S.O. and Obedkov, S.A., Algorithms for Constructing a Set of All Concepts of Formal Context and Their Hasse Diagrams. Journal of Computer and Systems Sciences International, Vol. 40, No. 1, pp. 115-124, 2001.
  • S.O. Kuznetsov, Machine Learning on the Basis of Formal Concept Analysis. Automation and Remote Control, Vol. 62, No. 10, pp. 1543-1564, 2001. 
  • S.O. Kuznetsov, On Computing the Size of a Lattice and Related Decision Problems. Order, vol. 18, no. 4, pp. 313-321, 2001. 
  • B. Ganter and S.O. Kuznetsov, Pattern Structures and Their Projections. In: Proc. G. Stumme and H. Delugach, Eds., 9th International Conference on Conceptual Structures (ICCS 2001), Lecture Notes in Artificial Intelligence (Springer), Vol. 2120, pp. 129-142, 2001. 
  • S.O. Kuznetsov and Obiedkov, Algorithms for the Construction of Concept Lattices and Their Diagram Graphs. In: Proc. 5th Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2001), Lecture Notes in Artificial Intelligence (Springer), Vol. 2168, pp. 289-300, 2001. 
2000
  • B. Ganter and S.O. Kuznetsov, Formalizing Hypotheses with Concepts. In: G. Mineau and B. Ganter, Eds., Proc. 8th International Conference on Conceptual Structures (ICCS 2001), Lecture Notes in Artificial Intelligence (Springer), Vol. 1867, pp. 342-356, 2000.  
1999
  • С.О. Кузнецов, О некоторых вопросах анализа понятий. Научно-техническая информация (НТИ), Сер. 2, 1999, № 1-2, С. 57-61.
  • S.O. Kuznetsov, Learning of Simple Conceptual Graphs from Positive and Negative Examples. In: J. Zytkow, J. Rauch, Eds., Proc. 3rd Conference on Principles of Data Mining and Knowledge Discovery (PKDD 1999), Lecture Notes in Artificial Intelligence (Springer), Vol. 1704, pp. 384-392, 1999.  
1998
  • С.О. Кузнецов, Формальный анализ понятий с помощью ДСМ-метода. Труды 6-й Национальной Конференции по Искусственному Интеллекту (КИИ 1998), Пущино, АИИ, Т.2, С. 591-592, 1998.
  • B. Ganter and S.O. Kuznetsov, Stepwise Construction of the Dedekind-MacNeille Completion. In: M-L. Mugnier, M. Chein, Eds., Proc. 6th International Conference on Conceptual Structures (ICCS 1998), Lecture Notes in Artificial Intelligence (Springer), Vol. 1453, pp. 295-302, 1998. 
1997
  • S.O. Kuznetsov, Algorithmic Complexity of Generating Hypotheses and Forecasts in Version Spaces Formed by Concept Lattices. In: Proc. the 1997 International Conference on Intelligent Systems and Semiotics: A Learning Perspective (ISAS 1997), Gaithersburg, MD (USA), September 22-25 (1997), pp. 96-99.
1996
  • С.О. Кузнецов, В.К. Финн, Об одной модели обучения и классификации, основанной на операции сходства. Обозрение Прикладной и Промышленной Математики 3, № 1, 1996, С. 66-90. 
  • Н.В. Зорин, С.О. Кузнецов, Механизм иерархической структуризации больших динамических гипертекстов. Научно-техническая информация (НТИ), Сер. 2, 1996, № 3.
  • S.O. Kuznetsov, Mathematical aspects of concept analysis. Journal of Mathematical Science, Vol. 80, Issue 2, pp. 1654-1698, 1996. 
  • V.K. Finn, T. Gergely, and S.O. Kuznetsov, Plausible Reasoning for Open Problem Domains. In: Proceedings of IEEE International Symposium on Intelligent Control, Dearborn, Michigan, (USA), September 15-18, 1996, pp. 111-116.
  • S.O. Kuznetsov, Concepts, Hypotheses, and Forecasts: An Algorithmic Complexity Perspective. In: Proceedings of the Workshop on Applied Semiotics (W30), European Conference on Artificial Intelligence (ECAI-96), Budapest, August 14-18, 1996, pp. 17-22.
1995
  • С.О. Кузнецов, Сходство в обобщенном ДСМ-методе и алгоритмы его порождения. Научно-техническая информация (НТИ), Сер. 2, 1995, № 6. 
    S.O.Kuznetsov, Similarity in the Generalized JSM Method and Its Generation Algorithms. In: Automatic Documentation and Mathematical Linguistics, Vol. 29, No. 3, pp. 11-20, 1995. 
1994
  • С.О. Кузнецов, Алгоритмическая сложность порождения гипотез и классификаций, основанных на поиске пересечения множеств. Доклады АН, 1994, том. 335, № 3, С. 300-303.
    Kuznetsov, S.O., Algorithmic Complexity Of Generating Hypothesis And Classifications Based On Set Intersection. Doklady Akademii Nauk, 1994, Vol. 335, No. 3, pp. 300-303.
1993
  • С.О. Кузнецов, Быстрый алгоритм построения всех пересечений объектов из конечной полурешетки. Научно-техническая информация (НТИ), Сер. 2, 1993, № 1, С.17-20. 
    S.O.Kuznetsov, A fast algorithm for computing all intersections of objects from an arbitrary semilattice. Nauchno-Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye protsessy i sistemy, No. 1, pp.17-20, 1993.
  • S.O. Kuznetsov, Algorithmic complexity of hypotheses and classification generation in a model based on set-oretic intersection. In: P.Brezillon and V.Stefanyuk, Eds., Proc. of the East-West Conference on Artifical Intelligence (EWAIC-93), Moscow , 1993, pp. 324-327.
1992
  • С.О. Кузнецов, О сложности обучения и классификации, основанных на операции сходства. 3-я Национальная Конференция по Искусственному Интеллекту (КИИ-92), т.1, Тверь, АИИ, 1992, C.32-34.
1991
  • С.О. Кузнецов, Введение в ДСМ-метод. Семиотика и Информатика, 1991, Вып.31., С.5 - 40.
  • С.О. Кузнецов, ДСМ-метод как система автоматического обучения. Итоги науки и техники, Сер. Информатика, 1991, Т. 15, С.17-54.
  • С.О. Кузнецов, Сложность обучения и классификации, основанных на поиске пересечения множеств. Научно-техническая информация (НТИ), Сер. 2, 1991, № 9, С. 8-15. 
    S.O. Kuznetsov, Complexity of Instruction and Classification Based on a Search for Set Intersection, Nauchno-Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye protsessy i sistemy, No.9, pp. 8-15, 1991.
  • С.О. Кузнецов, Модели и методы автоматического обучения. Итоги Науки и Техники, Сер. Вычислительные науки, 1991, Т.7, С.89-137.
1990
  • С.О. Кузнецов, Устойчивость как оценка обоснованности гипотез, получаемых на основе операционального сходства. Научно-техническая информация (НТИ), Сер. 2, 1990, № 12, С.21-29.
    S.O. Kuznetsov, Stability as an Estimate of Degree of Substantiation of Hypotheses Derived on the Basis of Operational Similarity, Nauchno-Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye protsessy i sistemy, No. 12 pp. 21-29, 1990.  
1989
  • В.Г. Ивашко, С.О. Кузнецов, Оценки правдоподобия в продукционных экспертных системах. Сб. Экспертные системы: состояние и перспективы, под ред. Д.А. Поспелова, М., Наука, 1989 С. 92-104.
  • С.О. Кузнецов, Интерпретация на графах и сложностные характеристики задач поиска закономерностей определенного вида. Научно-техническая информация (НТИ), Сер. 2, 1989, № 1, С.23-28.
    S.O. Kuznetsov, Interpretation on Graphs and Complexity Characteristics of a Search for Specific Patterns, Nauchno-Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye protsessy i sistemy, No. 1, pp.23-27, 1989.
1988
  • С.О. Кузнецов, О решетке на множествах графов с частично-упорядоченными пометками. Доклады школы-семинара Семиотические аспекты формализации интеллектуальной деятельности, Боржоми, ВИНИТИ, 1988, Т.1, С. 204-207.
  • С.О. Кузнецов, Определение сходства на гиперграфах как основа правдоподобного вывода на структурированных данных. Доклады 1-й Всесоюзной конференции по искусственному интеллекту, Переславль-Залесский, ВИНИТИ, 1988, Т. 1, С. 442- 448.
  • С.О. Кузнецов, В.К. Финн, Распространение процедур экспертных систем типа ДСМ на графы. Известия АН СССР, Сер. Техническая Кибернетика, 1988, N5, С. 4-11.
    Kuznetsov, S.O. and Finn, V.K., Extension of expert systems procedures of the DSM type to graphs. Soviet journal of computer and systems sciences, 1989, Vol. 27, No. 1, pp. 34-39
1987
  • Zabezhailo, M.I.,Ivashko, V.G., Kuznetsov, S.O., Mikheenkova, M.A., Khazanovskii, K.P., Anshakov, O.M., Algorithm And Program Sources Of The Dsm-method For The Automatic Hypothesis Generation. Nauchno-tekhnicheskaya Informatsiya Seriya 2-informatsionnye Protsessy I Sistemy, No. 10, pp. 1-14, 1987.

Translated Books

 Ч.С. Пирс, Рассуждение и логика вещей (с английского, совместно с Д.Г. и М.Д. Лахути), М., 2005.
 
C.S. Peirce, Reasoning and the Logic of Things (with D.G. and M.D. Lakhuti)
 
 
 Я. Хакинг, Представление и вмешательство (философия естественных наук, с английского), М, 1998.
 
I. Hacking, Representing and Intervening
 
 
 Э. Кассирер, Логика наук о культуре (с немецкого, совместно с Б. Вимер), М., 1996.
 
E. Cassirer, Ueber Logik der Kulturwissenschaften (mit B. Wiemer)

Student Term / Thesis Papers

Full list of of student term / thesis papers

Editorial board membership

  • 2010: Member of the Editorial Board, International Journal of General Systems.

  • 2010: Member of the Editorial Board, Бизнес-информатика (Business Informatics).

Conferences

  • 2015
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015 (Porto). Presentation: Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing.
  • Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015 (Porto). Presentation: Fast Generation of Best Interval Patterns for Nonmonotonic Constraints.
  • 4th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2015 (Buenos Aires). Presentation: Lazy Associative Graph Classification.
  • 4th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2015 (Buenos Aires). Presentation: Lazy Classication with Interval Pattern Structures: Application to Credit Scoring.
  • 4th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2015 (Buenos Aires). Presentation: SOFIA: How to Make FCA Polynomial?
  • 13th International Conference on Formal Concept Analysis (Nerja (Málaga)). Presentation: Revisiting Pattern Structure Projections.
  • 7th International Joint Conference on Natural Language Processing, ACL 2015 (Beijing). Presentation: Rhetoric Map of an Answer to Compound Queries.
  • The 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2015) (Каир). Presentation: Text Integrity Assessment: Sentiment Profile vs Rhetoric Structure.
  • Recent Advances in Natural Language Processing, RANLP 2015 (Hissar). Presentation: Text Classification into Abstract Classes Based on Discourse Structure
  • 2014
    7th European Starting AI Researcher Symposium, STAIRS 2014 (Prague). Presentation: On Evaluating Interestingness Measures for Closed Itemsets.
  • 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014 (Москва). Presentation: Is Concept Stability a Measure for Pattern Selection?
  • 12th International Conference on Formal Concept Analysis, ICFCA 2014 (Cluj-Napoca). Presentation: Scalable Estimates of Concept Stability.
  • 11th International Conference on Concept Lattices and Their Applications (CLA 2014). Presentation: A One-pass Triclustering Approach: Is There any Room for Big Data?
  • 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST'2014) (Екатеринбург). Presentation: Matchings and Decision Trees for Determining Optimal Therapy.
  • The 16th International Conference on Artificial Intelligence: Methodology, Systems, Applications AIMSA 2014 (Варна). Presentation: Pattern Structure Projections for Learning Discourse Structures.
  • 2013
    Recent Advances in Natural Language Processing, RANLP 2013 (Hissar). Presentation: Matching sets of parse trees for answering multi-sentence questions.
  • 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013 (Kolkata). Presentation: Scalable Knowledge Discovery in Complex Data with Pattern Structures.
  • International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2013) (Beijing). Presentation: FCA and pattern structures for mining care trajectories
  • 11th International Conference on Formal Concept Analysis (Дрезден). Presentation: Fitting Pattern Structures to Knowledge Discovery in Big Data.
  • The 20th International Conference on Conceptual Structures (ICCS 2013) (Мумбаи). Presentation: Parse Thicket Representation for Multi-sentence Search.
  • 3d International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013 (Beijing). Presentation: Finding Maximal Common Sub-parse Thickets for Multi-sentence Search.
  • European Conference on Information Retrieval 2013 (ECIR 2013) (Москва). Presentation: A Web Mining Tool for Assistance with Creative Writing.
  • 10th International Conference on Concept Lattices and Their Applications (CLA 2013) (La Rochelle). Presentation: From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms.
  • 10th International Conference on Concept Lattices and Their Applications (CLA 2013) (La Rochelle). Presentation: On Projections of Sequential Pattern Structures (with an Application on Care Trajectories).
  • 2012
    12th IEEE International Conference on Data Mining Workshops, ICDM Workshops (Brussels). Presentation: Concept-Based Biclustering for Internet Advertisement.
  • Extraction et gestion des connaissances (EGC'2012) (Bordeaux). Presentation: Caractérisation et extraction de biclusters de valeurs similaires avec l'analyse de concepts triadiques.
  • The Ninth International Conference on Concept Lattices and Their Applications (CLA 2012) (Malaga). Presentation: A Hybrid Classification Approach based on FCA and Emerging Patterns - An application for the classification of biological inhibitors.
  • The Ninth International Conference on Concept Lattices and Their Applications (CLA 2012) (Malaga). Presentation: Finding Errors in New Object Intents.

Publications19


Publications

Books
Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, Eds., Series of International Workshops 'What can FCA do for Artificial Intelligence?' (FCA4AI):
FCA4AI 2015,
FCA4AI 2014, CEUR Vol. 1257
FCA4AI 2013, CEUR Vol. 1058
FCA4AI 2012, CEUR Vol. 939
 
 
Gennady Agre, Pascal Hitzler, Adila A. Krisnadhi, Sergei O. Kuznetsov, Eds., Proc. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference (AIMSA 2014), Lecture Notes in Computer Science (Springer), Vol. 8722, 2014.
 
 
Alexander S. Kulikov, Sergei O. Kuznetsov, Pavel A. Pevzner, Eds., Proc. Combinatorial Pattern Matching - 25th Annual Symposium (CPM 2014), Lecture Notes in Computer Science (Springer), Vol. 8486, 2014.
 
 
Edward A. Hirsch, Sergei O. Kuznetsov, Jean-Eric Pin, Nikolay K. Vereshchagin, Eds., Proc. Computer Science - Theory and Applications - 9th International Computer Science Symposium in Russia (CSR 2014), Lecture Notes in Computer Science (Springer), Vol. 8476, 2014.
 
 
Pavel Serdyukov, Pavel Braslavski, Sergei O. Kuznetsov, Jaap Kamps, Stefan M. Rüger, Eugene Agichtein, Ilya Segalovich, Emine Yilmaz, Eds., Proc. 35th European Conference on Information Retrieval (ECIR 2013): Advances in Information Retrieval, Lecture Notes in Computer Science (Springer), Vol. 7814, 2013.
 
 
Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Eds. Proceedings of 2nd International Workshop on Concept Discovery in Unstructured Data 2012 (CDUD 2012). Published by KU-Leuven, ISBN 978-9-08-140991-9
Published online at CEUR-WS (ISSN 1613-0073) in volume 871.
 
 
rsgdgrc_coverKuznetsov, S.O.; Slezak, D.; Hepting, D.H.; Mirkin, B.G., Eds., Proceedings of 13th International: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011), Lecture Notes in Computer Science (LNCS), vol. 6743, Springer, 2011
 
 
premi_coverKuznetsov, S.O.; Kundu, M.K.; Mandal, D.P.; Pal, S.K., Eds., Proceedings of 4th International Conference: Pattern Recognition and Machine Intelligence (PReMI 2011), Lecture Notes in Computer Science(LNCS), vol. 6744, Springer, 2011.
 
 
Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Eds. Proceedings of International Workshop on Concept Discovery in Unstructured Data (CDUD 2011), CEUR Workshop Proceedings, volume 757, 2011.
 
 
Sebastian Rudolph, Frithjof Dau, Sergei O. Kuznetsov, Eds., Proceedings of the 17th International Conference on Conceptual Structures (ICCS'09), Lecture Notes in Artificial Intelligence (LNAI), vol. 5662, Springer, 2009.
Supplementary Proceedings publised at CEUR-ws, Vol. 483
 
 
 Radim Belohlavek, Sergei O. Kuznetsov, Eds., Proceedings of the 6th International Conference on Concept Lattices and Their Applications (CLA 2008), CEUR Workshop Proceedings, Vol. 433, Palacky University, Olomouc, 2008.
 
 
 Sergei O. Kuznetsov, Stefan Schmidt, Proceedings of the 5th International Conference on Formal Concept Analysis (ICFCA'07), Lecture Notes in Artificial Intelligence (LNAI), vol. 4390, Springer, 2007.
 
Editor of special issues of journals
Kuznetsov, Sergei (ed.); Slezak, Dominik (ed.)
Special issue: Selected revised and extended papers presented at the 13th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2011), Moscow, Russia, June 25–27, 2011
International Journal of General Systems, Volume 42, Issue 6, pp. 543-720, 2013
 
 
Annals of Mathematics and Artificial Intelligence
Special Issue: CLA'08 - Concept Lattices and their Applications, Annals of Mathematics and Artificial Intelligence, Volume 59, Number 2, June 2010
Guest Editors: Radim Belohlávek, Sergei O. Kuznetsov
 
Publications in journals and conference proceedings
2015
  • Buzmakov A. V., Kuznetsov S. O., Napoli A., Revisiting pattern structure projections. In: Proc. of the 13th International Conference - Formal Concept Analysis (ICFCA 2015), Vol. 9113, Springer, pp. 200-215, 2015.
  • Metivier J., Lepailleur A., Buzmakov A. V., Poezevara G., Cremilleux B., Kuznetsov S. O., Goff J., Napoli A., Bureau R., Cuissart B., Discovering structural alerts for mutagenicity using stable emerging molecular patterns. In: Journal of Chemical Information and Modeling, Vol. 55. No. 5, 2015.
  • Sergei O. Kuznetsov, Artem Revenko, Interactive error correction in implicative theories. In: International Journal of Approximate Reasoning, Volume 63, August 2015, pp. 89–100, 2015.
  • Ignatov D. I., Gnatyshak D. V., Sergei O. Kuznetsov, Boris G. Mirkin, Triadic Formal Concept Analysis and triclustering: searching for optimal patterns. In: Machine Learning, April, 2015, pp. 1-32.
  • Masyutin A., Kashnitsky Y., Kuznetsov S. O, Lazy Classication with Interval Pattern Structures: Application to Credit Scoring. In: Proc. 4th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2015), pp. 43-54. 
  • Kashnitsky Y., Sergei O. Kuznetsov, Lazy Associative Graph Classification. In: Proc. 4th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2015), pp. 63-74.
2014
  • Galitsky, Boris A. and Ilvovsky, Dmitry and Kuznetsov, Sergei O. and Strok, Fedor, Finding Maximal Common Sub-parse Thickets for Multi-sentence Search. In: Croitoru, M. and Rudolph, S. and Woltran, S. and Gonzales, C., Eds., Proc. Graph Structures For Knowledge Representation And Reasoning (GKR 2013), Lecture Notes in Computer Science (LNCS), Springer, Vol. 8323, pp. 39-57, 2014.
  • Fedor Strok, Boris Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov, Pattern Structure Projections for Learning Discourse Structures. In: Gennady Agre, Pascal Hitzler, Adila A. Krisnadhi, Sergei O. Kuznetsov, Eds., Proc. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference (AIMSA 2014), Lecture Notes in Computer Science (Springer), Vol. 8722, pp. 254-260, 2014.
  • Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, Eds., Proc. 3rd Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2014), CEUR Workshop Proceedings, Vol. 1257, 2014. 
  • Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli, Concept Stability as a Tool for Pattern Selection. In: Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, Eds., Proc. 3rd Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2014), CEUR Workshop Proceedings, Vol. 1257, pp. 51-58, 2014. 
  • Gennady Agre, Pascal Hitzler, Adila A. Krisnadhi, Sergei O. Kuznetsov, Eds., Proc. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference (AIMSA 2014), Lecture Notes in Computer Science (Springer), Vol. 8722, 2014.
  • Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov, Lhouari Nourine, A One-pass Triclustering Approach: Is There any Room for Big Data? In: Karell Bertet, Sebastian Rudolph, Eds., Proc. 11th International Conference on Concept Lattices and Their Applications (CLA 2014), CEUR Workshop Proceedings, Vol. 1252, pp. 231-242, 2014. 
  • Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli, Is Concept Stability a Measure for Pattern Selection? In: Fuad Aleskerov, Yong Shi, Alexander Lepskiy, Eds., Proc. 2nd International Conference on Information Technology and Quantitative Management (ITQM 2014), Procedia Computer Science (Elsevier), pp. 918-927, 2014.
  • Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli: On Evaluating Interestingness Measures for Closed Itemsets. In: Ulle Endriss, Joao Leite, Eds., Proc. 7th European Starting AI Researcher Symposium (STAIRS 2014), Frontiers in Artificial Intelligence and Applications, Vol. 264, IOS Press, pp. 71-80, 2014.
  • Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Amedeo Napoli, Biclustering meets triadic concept analysis. In: Amedeo Napoli, Ed., Annals of Mathematics and Artificial Intelligence, Volume 70, Issue 1-2, pp. 55-79 , 2014.
  • Jonas Poelmans, Dmitry I. Ignatov, Sergei O. Kuznetsov, Guido Dedene, Fuzzy and rough formal concept analysis: a survey. In: International Journal of General Systems, Volume 43, Issue 2, pp. 105-134, 2014.
  • Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli, Scalable Estimates of Concept Stability. In: Cynthia Vera Glodeanu, Mehdi Kaytoue, Christian Sacarea, Eds., Proc. Formal Concept Analysis - 12th International Conference (ICFCA 2014), Lecture Notes in Computer Science (Springer), Vol. 8478, pp. 157-172, 2014.
  • Alexander S. Kulikov, Sergei O. Kuznetsov, Pavel A. Pevzner, Eds., Proc. Combinatorial Pattern Matching - 25th Annual Symposium (CPM 2014), Lecture Notes in Computer Science (Springer), Vol. 8486, 2014.
  • Edward A. Hirsch, Sergei O. Kuznetsov, Jean-Eric Pin, Nikolay K. Vereshchagin, Eds., Proc. Computer Science - Theory and Applications - 9th International Computer Science Symposium in Russia (CSR 2014), Lecture Notes in Computer Science (Springer), Vol. 8476, 2014.
2013
  • Galitsky, B. and Ilvovsky, D. and Kuznetsov, S. and Strok, F., Matching sets of parse trees for answering multi-sentence questions. In: Galia Angelova, Kalina Bontcheva, Ruslan Mitkov, Eds., Proc. of International Conference Recent Advances in Natural Language Processing (RANLP 2013), pp. 285-293, 2013.
  • Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raissi, FCA and pattern structures for mining care trajectories. In: Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, Eds., Proc. 2nd Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2013), CEUR Workshop Proceedings, Vol. 1058, pp. 7-14, 2013.  
  • S.O. Kuznetsov and D. Slezak, Data mining and soft computing. International Journal of General Systems, Vol. 42, No. 6, Special Issue, pp. 543-545, 2013.
  • Sergei O. Kuznetsov, Scalable Knowledge Discovery in Complex Data with Pattern Structures. In: P. Maji, A. Ghosh, M.N. Murty, K. Ghosh, S.K. Pal, Eds., Proc. 5th International Conference Pattern Recognition and Machine Intelligence (PReMI'2013), Lecture Notes in Computer Science (Springer), Vol. 8251, pp. 30-41, 2013. 
  • Claudio Carpineto, Sergei O. Kuznetsov, Amedeo Napoli, Eds., Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval (FCAIR 2013). Published online at CEUR-WS (ISSN 1613-0073) in volume 977, 2013. 
  • Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene, Formal Concept Analysis in knowledge processing: A survey on applications. In: Expert Systems with Applications, Vol. 40. No. 16, pp. 6538-6560, 2013.
  • Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene, Formal Concept Analysis in knowledge processing: A survey on models and techniques. In: Expert Systems with Applications, Vol. 40. No. 16, pp. 6601-6623, 2013.
  • Dmitry V. Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov, From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms. In: Proceedings of the Tenth International Conference on Concept Lattices and Their Applications (CLA'2013), La Rochelle: Laboratory L3i, University of La Rochelle, pp. 249-260, 2013.
  • Ignatov D. I., Kuznetsov S. O., Zhukov L. E., Poelmans J., Can triconcepts become triclusters? In: International Journal of General Systems, Vol. 42. No. 6, pp. 572-593, 2013.
  • Boris A. Galitsky, Dmitry Ilvovsky, Fedor Strok, Sergei O. Kuznetsov, Improving Text Retrieval Efficiency with Pattern Structures on Parse Thickets. In: Claudio Carpineto, Sergei O. Kuznetsov, Amedeo Napoli, Eds., Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval (FCAIR 2013), pp. 6-21, 2013. 
  • Alexey Neznanov, Sergei O. Kuznetsov, Information Retrieval and Knowledge Discovery with FCART. In: Claudio Carpineto, Sergei O. Kuznetsov, Amedeo Napoli, Eds., Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval (FCAIR 2013), pp. 74-82, 2013. 
  • Sergei O. Kuznetsov, Jonas Poelmans, Knowledge representation and processing with formal concept analysis. In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol.3(3), pp. 200-215, 2013.
  • Boris Galitsky, Sergei O. Kuznetsov, Daniel Usikov, Parse Thicket Representation for Multi-sentence Search. In: Pfeiffer, H.D.; Ignatov, D.; Poelmans, J.; Nagarjuna, G., Eds., Proc. 20th International Conference on Conceptual Structures(ICCS 2013), Lecture Notes in Artificial Intelligence (Springer), Vol. 7735, pp. 153-172, 2013. 
  • Boris Galitsky, Sergei O. Kuznetsov, A Web Mining Tool for Assistance with Creative Writing. In: P. Serdyukov, P. Braslavski, S. O. Kuznetsov, J. Kamps, S.M. Rüger, E. Agichtein, I. Segalovich, E. Yilmaz, Eds., Proc. 35th European Conference on Information Retrieval (ECIR 2013): Advances in Information Retrieval, Lecture Notes in Computer Science (Springer), Vol. 7814, pp. 828-831, 2013.
  • Sergei O. Kuznetsov, Fitting Pattern Structures to Knowledge Discovery in Big Data. In: Cellier, Peggy; Distel, Felix; Ganter, Bernhard, Eds., Proc. 11th International Conference on Formal Concept Analysis (ICFCA 2013), Lecture Notes in Artificial Intelligence (Springer), Vol. 7880, pp. 254–266, 2013. 
  • Mikhail A. Babin, Sergei O. Kuznetsov, Computing premises of a minimal cover of functional dependencies is intractable. In: Discrete Applied Mathematics, Vol. 161(6), pp. 742-749, 2013.
2012
  • Ignatov, Dmitry I. and Kuznetsov, Sergei O. and Poelmans, Jonas, Concept-based Biclustering for Internet Advertisement. In: Vreeken, J and Ling, C and Zaki, MJ and Siebes, A and Yu, JX and Goethals, B and Webb, G and Wu, X , Eds., Proc. of 12th IEEE International Conference On Data Mining Workshops (ICDMW 2012), pp.123-130, 2012.
  • Гнатышак Д.В., Игнатов Д.И., Жуков Л.Е., Кузнецов С.О., Миркин Б.Г., Экспериментальное сравнение некоторых алгоритмов трикластеризации. В кн.: Интеллектуализация обработки информации ИОИ: 9-я международная конференция. Черногория, г. Будва, 2012 г. Москва: Торус Пресс, C. 609—612, 2012.
  • Гнатышак Д.В., Игнатов Д.И., Кузнецов С.О., Пульманс Й., Семенов А.В., Анализ данных (Data Mining) онлайн социальных сетей с помощью бикластеризации и трикластеризации. Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012: Труды конференции. Т.2. — Белгород: Изд-во БГТУ, C. 66-73, 2012.
  • Игнатов Д.И., Каминская А.Ю., Константинов А.В., Кузнецов С.О., Система анализа данных коллаборативных платформ CrowDM. Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012: Труды конференции. Т.2. — Белгород: Изд-во БГТУ, C. 74-81, 2012.
  • Poelmans J., Van der Mussele, H., Verheyden, G., Viaene, S., Dedene, G., Kuznetsov, S., Neznanov, A., CORDIET - Healthcare: Extracting knowledge from electronic patient record data. In: Proc. 11th International Nursing Informatics Congress, pp. 321-325, 2012.
  • Sergei O. Kuznetsov, Alexey A. Neznanov, Jonas Poelmans, A System for Knowledge Discovery in Big Dynamical Text Collections. In: Proc. Workshop “What can FCA do for Artificial Intelligence?” (FCA4AI 2012) of the ECAI 2012 conference, Montpellier, France, pp. 81-87, 2012. 
  • Aleksey Buzmakov, Sergei O. Kuznetsov, and Amedeo Napoli, A New Approach to Classification by Means of Jumping Emerging Patterns. In: Proc. 1st Workshop “What can FCA do for Artificial Intelligence?” (FCA4AI 2012) of the ECAI 2012 conference, Montpellier, France, pp. 15-22, 2012. 
  • Artem Revenko, Sergei O. Kuznetsov and Bernhard Ganter, Finding Errors in New Object in Formal Contexts. In: Proc. Workshop “What can FCA do for Artificial Intelligence?” (FCA4AI 2012) of the ECAI 2012 conference, Montpellier, France, pp. 65-72,2012. 
  • Artem Revenko, Sergei O. Kuznetsov, Finding Errors in New Object Intents. In: Szathmary L., Priss U., Eds., Proc. CLA 2012, Universidad de Málaga, Spain, pp. 151-162, 2012.
  • Yasmine Asses, Aleksey Buzmakov, Thomas Bourquard, Sergei O. Kuznetsov, Amedeo Napoli, A Hybrid Classification Approach based on FCA and Emerging Patterns – An application for the classification of biological inhibitors. In: Szathmary L., Priss U., Eds., Proc. CLA 2012, Universidad de Málaga, Spain, pp. 211-222, 2012.
  • Бабин М.А., Кузнецов С.О., Связи между решетками понятий и сложностью их вычисления.Труды МФТИ, том 4 №2(14), С. 73-80, 2012.
  • Jonas Poelmans, Paul Elzinga, Dmitry I. Ignatov, Sergei O. Kuznetsov, Semi-automated knowledge discovery: identifying and profiling human trafficking. In: International Journal of General Systems, Vol. 41, Number 8, pp. 774-804, 2012. 
  • Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Juraj Macko, Wagner Meira Jr., Caracterisation et extraction de biclusters de valeurs similaires avec l'analyse de concepts triadiques. In: Yves Lechevallier, Guy Melancon, Bruno Pinaud, Eds., Proc. Extraction et gestion des connaissances (EGC 2012), RNTI-E-23 Hermann-Editions, pp. 65-76, 2012. 
  • Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov, Human-Centered Text Mining: A New Software System. In: Petra Perner, Ed., Proc. 11th Industrial Conference on Data Mining (ICDM 2012), Lecture Notes in Computer Science (Springer), Vol. 7377, pp. 258-272, 2012. 
  • Jonas Poelmans, Dmitry I. Ignatov, Stijn Viaene, Guido Dedene, Sergei O. Kuznetsov, Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research. In: Petra Perner, Ed., Proc. 11th Industrial Conference on Data Mining (ICDM 2012), Lecture Notes in Computer Science (Springer), Vol. 7377, pp. 273-287, 2012. 
  • M.A. Babin, S.O. Kuznetsov, Approximating Concept Stability. In: F.Domenach, D.Ignatov, J.Poelmans, Eds., Proc. 10th International Conference on Concept Analysis (ICFCA 2012), Lecture Notes in Artificial Intelligence (Springer), Vol. 7278, 2012. 
  • A.V. Revenko, S.O. Kuznetsov, Attribute Exploration of Properties of Functions on Ordered Sets. Fundamenta Informaticae, Volume 115, Issue 4, pp. 377-394, 2012. 
  • V.V. Pankratieva, S.O. Kuznetsov, Relations between Proto-Fuzzy Concepts, Crisply Generated Fuzzy Concepts and Pattern Structures. Fundamenta Informaticae, Volume 115, Issue 4, pp. 265-277, 2012. 
2011
  • Lev Itskovich, Sergei Kuznetsov, Machine Learning Methods in Character Recognition. In: S.Kuznetsov, D.Slezak, D.Hepting, B.Mirkin, Eds., Proc. 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2011), Lecture Notes in Computer Science, Vol. 6743, pp. 322-329, 2011.
  • Sergei O. Kuznetsov, Computing Graph-Based Lattices from Smallest Projections. In: Proc. 1st International Conference on Knowledge Processing in Practice (KPP 2007), Lecture Notes in Artificial Intelligence (Springer), Vol. 6581, pp. 35-47, 2011. 
  • Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Wagner Meira Jr., Amedeo Napoli, Mining Biclusters of Similar Values with Triadic Concept Analysis. In: Proc. 8th International Conference on Concept Lattices and Their Applications (CLA 2011), INRIA Nancy - Grand Est and LORIA, pp. 175 - 190, 2011. 
  • М.А. Бабин, С.О. Кузнецов, О теоретико-решеточной интерпретации задач поиска гипотез и зависимостей. Журнал Научно-техническая информация (НТИ), Сер. 2, № 10, 2011.
  • Sergei O. Kuznetsov, Dominik Slezak, Daryl H. Hepting, Boris Mirkin, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. In: S.Kuznetsov, D.Slezak, D.Hepting, B.Mirkin, Eds., Proc. 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2011),  Lecture Notes in Computer Science, Vol. 6743, 2011.
  • P. Agarwal, Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Geraldine Polaillon, Symbolic Galois Lattices with Pattern Structures. In: S.Kuznetsov, D.Slezak, D.Hepting, B.Mirkin, Eds., Proc. 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2011),  Lecture Notes in Computer Science, Vol. 6743, pp. 191-198, 2011.
  • Dmitry I. Ignatov, Sergei O. Kuznetsov, Ruslan A. Magizov and Leonid E. Zhukov, From Triconcepts to Triclusters. In: S.Kuznetsov, D.Slezak, D.Hepting, B.Mirkin, Eds., Proc. 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2011),  Lecture Notes in Computer Science, Vol. 6743, p. 257-264, 2011. 
  • Sergei O. Kuznetsov, Deba Prasad Mandal, Malay Kumar Kundu, Sankar K. Pal, Pattern Recognition and Machine Intelligence. In: S.Kuznetsov, D.Mandal, M.Kundu, S.Pal, Eds., Proc. 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2011), Lecture Notes in Computer Science (Springer), Vol. 6744, 2011.
  • Boris Galitsky, Gabor Dobrocsi, Josep Lluis de la Rosa, Sergei O. Kuznetsov, Using Generalization of Syntactic Parse Trees for Taxonomy Capture on the Web. In: Simon Andrews, Simon Polovina, Richard Hill, Babak Akhgar, Eds., Proc. 19th International Conference on Conceptual Structures (ICCS 2011), Lecture Notes in Computer Science (Springer), Vol. 6828, pp. 104-117, 2011. 
  • Jonas Poelmans, Paul Elzinga, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov, A Concept Discovery Approach for Fighting Human Trafficking and Forced Prostitution. In: Simon Andrews, Simon Polovina, Richard Hill, Babak Akhgar, Eds., Proc. 19th International Conference on Conceptual Structures (ICCS 2011), Lecture Notes in Computer Science (Springer), Vol. 6828, pp. 201-214, 2011. 
  • Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene, Sergei O. Kuznetsov, Text Mining Scientific Papers: a Survey on FCA-based Information Retrieval Research. In: Proc. 11th Industrial Conference on Data Mining (ICDM 2011), pp. 82-96, 2011. 
  • M. Kaytoue, S. O. Kuznetsov, and A. Napoli, Revisiting Numerical Pattern Mining with Formal Concept Analysis. In: Proc. 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 1342-1347, 2011. 
  • Jonas Poelmans, Guido Dedene, peter Eklund, Stijn Viaene, Monique Snoeck, Sergei Kuznetsov, Extending Formal concept Analysis with a Second Ordering Relationship on Concepts: a Software Engineering Case Study. In: Proc. 9th International Conference Formal Concept Analysis (ICFCA 2011), Lecture Notes in Artificial Intelligence (Springer), Vol. 6628, pp. 86-101, 2011.
  • Mikhail A. Babin and Sergei O. Kuznetsov, Enumerating Minimal Hypotheses and Dualizing Monotone Boolean Functions on Lattices. In: Proc. 9th International Conference Formal Concept Analysis (ICFCA 2011), Lecture Notes in Artificial Intelligence (Springer), Vol. 6628, pp. 42-48, 2011. 
  • Mehdi Kaytoue, Sergei O. Kuznetsov, and Amedo Napoli, Biclustering Numerical Data in Formal Concept Analysis. In: Formal Concept Analysis, Proc. 9th International Conference (ICFCA 2011), Lecture Notes in Artificial Intelligence (Springer), Vol. 6628, pp. 135-150, 2011. 
  • M. Kaytoue, S.O. Kuznetsov, A. Napoli, S. Duplessis, Mining gene expression data with pattern structures in formal concept analysis. Information Sciences, Volume 181, Issue 10, 15 May 2011, pp. 1989-2001, Information Science, Special Issue on Information Engineering Applications Based on Lattices, Elsevier, New York, 2011. 
  • Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Stijn Viaene, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene, Concept Relation Discovery and Innovation Enabling Technology (CORDIET). In: CEUR Workshop proceedings Vol-757, CDUD'11 - Concept Discovery in Unstructured Data, pp. 53-62, 2011. 
2010
  • M. Kaytoue, Z. Assaghir, A. Napoli, S. Kuznetsov, Embedding Tolerance Relations in Formal Concept Analysis: An Application in Information Fusion. In: Jimmy Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, Aijun An, Eds., Proc. 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp. 1689-1692, 2010.  
  • B.Galitsky, G. Dobrocsi, J.L. de la Rosa, S.O. Kuznetsov, From Generalization of Syntactic Parse Trees to Conceptual Graphs. In: M. Croitoru, S. Ferre, D. Lukose, Eds., Conceptual Structures: From Information to Intelligence, Proc. 18th International Conference on Conceptual Structures (ICCS 2010), Lecture Notes in Artificial Intelligence (Springer), vol. 6208, pp. 185-190, 2010. 
  • Mikhail A. Babin, Sergei O. Kuznetsov, On Links between Concept Lattices and Related Complexity Problems. In: L. Kwuida, B. Sertkaya, Eds., Formal Concept Analysis, Proc. 8th International Conference (ICFCA 2010), Lecture Notes in Artificial Intelligence (Springer), vol. 5986, pp. 138-144, 2010. 
  • Artem Revenko and Sergei O. Kuznetsov, Attribute Exploration of Properties of Functions on Ordered Sets. In: Proc. 7th International Conference on Concept Lattices and Their Applications (CLA 2010), University of Sevilla, pp. 311-324, 2010.  
  • Mikhail Babin and Sergei O. Kuznetsov, Recognizing Pseudo-Intents is coNP-complete. In: Proc. 7th International Conference on Concept Lattices and Their Applications (CLA 2010), University of Sevilla, CEUR Workshop Proceedings, Vol. 672, pp. 294-301, 2010. 
  • Vera Pankratieva, Sergei O. Kuznetsov, Relations between Proto-fuzzy Concepts, Crisply Generated Fuzzy Concepts, and Interval Pattern Structures. In: Proc. 7th International Conference on Concept Lattices and Their Applications (CLA 2010), University of Sevilla, pp. 50-59, 2010. 
  • Игнатов Д.И., Кузнецов С.О., Бикластеризация объектно-признаковых данных на основе решеток замкнутых множеств. Труды 12-й Национальной Конференции по Искусственному Интеллекту (КИИ 2010), М., Физматлит, Т. 1., С.175-182, 2010.
  • Галицкий Б.А., Дремов Д.А., Кузнецов С.О., Повышение релевантности мета-поиска с использованием деревьев синтаксического разбора. Труды 12-й Национальной Конференции по Искусственному Интеллекту (КИИ 2010), М., Физматлит, Т. 1., С.261-266, 2010.
  • Галицкий Б.А., Кузнецов С.О., Якимович С.В., Семантическая классификация на основе обучения по деревьям синтаксического разбора. Труды 12-й Национальной Конференции по Искусственному Интеллекту (КИИ 2010), М., Физматлит, Т. 1, С.267-273, 2010.
  • Ицкович Л.А., Кузнецов С.О., Методы машинного обучения в задаче распознавания символов. Труды 12-й Национальной Конференции по Искусственному Интеллекту (КИИ 2010), М., Физматлит, Т. 2, С.124-132, 2010.
2009
  • Sergei O. Kuznetsov, Dmitry I. Ignatov, Concept Stability for Constructing Taxonomies of Web-site Users. CoRR abs/0905.1424, 2009.
  • Dmitry I. Ignatov, Sergei O. Kuznetsov, Concept-based Recommendations for Internet Advertisement. CoRR abs/0906.4982, 2009. 
  • Sergei O. Kuznetsov, Pattern Structures for Analyzing Complex Data. In: H.Sakai et al.,Eds., Proc. 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2009), Lecture Notes in Artificial Intelligence (Springer), Vol. 5908, pp. 33-44, 2009. 
  • Dmitry I. Ignatov, Sergei O. Kuznetsov, Frequent Itemset Mining for Clustering Near Duplicate Web Documents. In: Sebastian Rudolph, Frithjof Dau, Sergei O. Kuznetsov, Eds., Proc. 17th International Conference on Conceptual Structures (ICCS 2009), Lecture Notes in Artificial Intelligence (Springer), Vol. 5662, pp. 185-200, 2009.  
  • Mehdi Kaytoue, Sebastien Duplessis, Sergei O. Kuznetsov, Amedeo Napoli, Two FCA-Based Methods for Mining Gene Expression Data. In: S.Ferre, S.Rudoplh, Eds., Proc. 7th International Conference on Formal Concept Analysis (ICFCA 2009), Lecture Notes in Artificial Intelligence (Springer), Vol. 5548, pp. 251-266, 2009. 
2008
  • Galitsky, B. and Kuznetsov, S.O. and Kovalerchuk, B., Argumentation vs meta-argumentation for the assessment of multi-agent conflict. In: AAAI Workshop - Technical Report, Vol. WS-08-07, pp. 60-67, 2008.
  • Boris A. Galitsky, Sergei O. Kuznetsov, Learning Communicative Actions of Conflicting Human Agents. Journal Experimental and Theoretical Artificial Intelligence, Vol. 20, no. 4, pp. 277-317, 2008.  
  • Dmitry I. Ignatov, Sergei O. Kuznetsov, Concept-based Recommendations for Internet Advertisement. In: Belohlavek R., Kuznetsov S.O., Eds., Proc. 6th International Conference on Concept Lattices and Their Applications (CLA 2008), Palacky University, pp. 157-167, 2008. 
  • Д.И. Игнатов, С.О. Кузнецов, Методы разработки данных (Data Mining) для рекомендательной системы Интернет-рекламы. Труды 11-й Национальной Конференции по Искусственному Интеллекту (КИИ 2008), г. Дубна, 2008.
  • Boris A. Galitsky, Sergei O. Kuznetsov, Scenario Argument Structure vs Individual Claim Defeasibility: What Is More Important for Validity Assessment? In: P. Eklund, O. Haemmerle, Eds., Proc. 16th International Conference on Conceptual Structures (ICCS 2008), Lecture Notes in Artificial Intelligence (Springer), Vol. 5113, pp. 282-296, 2008.
  • Bernhard Ganter, Sergei O. Kuznetsov, Scale Coarsening as Feature Selection. In: R.Medina, S.Obiedkov, Eds., Proc. 6th International Conference on Formal Concept Analysis (ICFCA 2008), Lecture Notes in Artificial Intelligence (Springer), Vol. 4933, pp. 217-228, 2008. 
  • Sergei O. Kuznetsov, Sergei A. Obiedkov, Some Decision and Counting Problems of the Duquenne-Guigues Basis of Implications. Discrete Applied Mathematics Vol. 156, no. 11, pp. 1994-2003, 2008.  
2007
  • С.А. Кедров, С.О. Кузнецов, Исследование групп пользователей интернет-ресурсами методами анализа формальных понятий и разработки данных (Data Mining). Бизнес-Информатика, 2007, № 1, сс. 45-51, 2007.
  • Sergei O. Kuznetsov, On Stability of a Formal Concept. Annals of Mathematics and Artificial Intelligence, Vol. 49, pp.101-115, 2007. 
  • Laszlo Szathmary, Amedeo Napoli, and Sergei O. Kuznetsov, ZART: A Multifunctional Itemset Mining Algorithm. In: J.Diatta, P. Eklund, M. Liquiere, Eds., Proc. 5th International Conference on Concept Lattices and Their Applications (CLA 2007), Montpellier, pp. 26-37, 2007. 
  • Sergei O. Kuznetsov, Sergei Obiedkov and Camille Roth, Reducing the Representation Complexity of Lattice-Based Taxonomies. In: U. Priss, S. Polovina, R. Hill, Eds., Proc. 15th International Conference on Conceptual Structures (ICCS 2007), Lecture Notes in Artificial Intelligence (Springer), Vol. 4604, pp. 241-254, 2007. 
  • Boris Galitsky, Boris Kovalerchuk, and Sergei O. Kuznetsov, Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs. In: U. Priss, S. Polovina, R. Hill, Eds., Proc. 15th International Conference on Conceptual Structures (ICCS 2007), Lecture Notes in Artificial Intelligence (Springer), Vol. 4604, pp. 387- 400, 2007. 
  • Sergei O. Kuznetsov, D.I. Ignatov, Concept Stability for Constructing Taxonomies of Web-site users. In: S. Obiedkov, C. Roth, Eds., Proc. Social Network Analysis and Conceptual Structures: Exploring Opportunities, Clermont-Ferrand, 2007. 
  • B. A. Galitsky, Sergei O. Kuznetsov, D.V. Vinogradov, Applying hybrid reasoning to mine for associative features in biological data. Journal of Biomedical Information, Vol. 40, Issue 3, pp. 203-220, 2007. 
2006
  • С.О. Кузнецов, М.В. Самохин, Н.В. Харчевникова, Прогнозирование контрпродуктивных свойств химических соединений на основе представления молекул помеченными графами: сравнительный анализ нескольких подходов. Часть 1: Описание подходов. Научно-техническая информация (НТИ), Сер. 2, 2006, № 1, С. 1-8.
  • С.О. Кузнецов, М.В. Самохин, Н.В. Харчевникова, Прогнозирование контрпродуктивных свойств химических соединений на основе представления молекул помеченными графами: сравнительный анализ нескольких подходов. Часть 2: Анализ экспериментов. Научно-техническая информация (НТИ), Сер. 2, 2006, № 2, С. 1-10.
  • С.О. Кузнецов, Предикаты ДСМ-метода на языке соответствий Галуа. Научно-техническая информация (НТИ), Сер. 2, 2006, № 12, С. 12-16.
  • Sergei O. Kuznetsov, Sergei A.Obiedkov, Counting Pseudo-intents and #P-completeness. In: R. Missaoui, J. Schmid, Eds., Proc. 4th International Conference on Formal Concept Analysis (ICFCA 2006), Lecture Notes in Artificial Intelligence (Springer), Vol. 3874, pp. 306-308, 2006. 
  • B. A. Galitsky, Sergei O. Kuznetsov, and D. Peterson, Case-Based Analysis of the Scenarios of Multiagent Interaction. Expert Update (Selected Papers from 9th UK CBR Workshop), Vol. 8, No. 3, pp. 9-15.
2005
  • С.О. Кузнецов, М.В. Самохин, Обучение на помеченных графах и их проекциях. Труды конференции САИТ 2005, Переславль-Залесский, 2005. 
  • С.О. Кузнецов, Д.И. Игнатов, С.А. Объедков и М.В. Самохин, Порождение кластеров документов-дубликатов: подход, основанный на поиске частых замкнутых множеств признаков. Сб. работ стипендиатов, Яндекс, 2005. 
  • S.O. Kuznetsov, Galois Connections in Data Analysis: Contributions from the Soviet Era and Modern Russian Research. In: B. Ganter, G. Stumme, R. Wille, Eds., Formal Concept Analysis: Foundations and Applications, Lecture Notes in Artificial Intelligence (Springer), State-of-the Art Ser., Vol. 3626, pp. 196-225., 2005. 
  • S.O. Kuznetsov and M.V. Samokhin, Learning Closed Sets of Labeled Graphs for Chemical Applications. In: Proc. 15th Conference on Inductive Logic Programming (ILP 2005), Lecture Notes in Artificial Intelligence (Springer), Vol.3625, pp.190-208., 2005. 
  • B.A. Galitsky, S.O. Kuznetsov, and M.V. Samokhin, Analyzing Conflicts with Concept-Based Learning. In: F. Dau, M.-L. Mugnier, Eds., Proc. 13th International Conference on Conceptual Structures (ICCS 2005), Lecture Notes in Artificial Intelligence (Springer), Vol. 3596, pp.307-322, 2005.  
2004
  • С.О. Кузнецов, Методы теории решеток и анализа формальных понятий в машинном обучении. Новости Искусственного Интеллекта, 2004, № 3, С. 19-31.
  • S.O. Kuznetsov, On the Intractability of Computing the Duquenne-Guigues Base. Journal of Universal Computer Science, 2004, vol. 10, no. 8, pp. 927-933. 
  • S.O. Kuznetsov, Complexity of Learning in Concept Lattices from Positive and Negative Examples. Discrete Applied Mathematics, 2004, no. 142(1-3), pp. 111-125.  
  • B. Ganter, P.A. Grigoriev, S.O. Kuznetsov, and M.V. Samokhin, Concept-based Data Mining with Scaled Labeled Graphs. In: K.E. Wolff, H. D. Pfeiffer, H. S. Delugach, Eds., Proc. 12th International Conference on Conceptual Structures (ICCS 2004), Lecture Notes in Artificial Intelligence (Springer), Vol. 3127, pp. 94-108, 2004. 
  • S.O. Kuznetsov, Machine Learning and Formal Concept Analysis. In: P. Eklund, Ed., Proc. 2nd International Conference on Formal Concept Analysis (ICFCA 2006), Lecture Notes in Artificial Intelligence (Springer), Vol. 2961, pp. 287-312, 2004. 
  • S.O. Kuznetsov, Algorithms for Computing Closed Sets: A Review. In: Workshop Evaluation des Algorithmes de Generation de Concept et de Regles, Clermont-Ferrand at the ECG Conference, January 2004.
2003
  • V.G. Blinova, D.A. Dobrynin, V.K. Finn, S.O. Kuznetsov, and E.S. Pankratova, Toxicology analysis by means of the JSM-method. Bioinformatics, vol. 19(10), pp. 1201-1207, 2003.  
  • B. Ganter and S.O. Kuznetsov, Hypotheses and Version Spaces. In: A. de Moor, W. Lex, and B.Ganter, Eds., Proc. 10th International Conference on Conceptual Structures (ICCS 2003), Lecture Notes in Artificial Intelligence (Springer), Vol. 2746, pp. 83-95, 2003. 
  • S.O. Kuznetsov, Stability of a Formal Concept. In: E. San-Juan, Ed., Proc. 4th Journee d'Informatique Messine (JIM'03), Metz , 2003.
2002
  • С.О. Кузнецов, М.В. Самохин, Порождение ДСМ-гипотез для данных, представленных раскрашенными графами. Труды 8-й Национальной Конференции по Искусственному Интеллекту (КИИ 2002), Коломна, 2002.
  • S.O. Kuznetsov and S.A. Obiedkov, Comparing Performance of Algorithms for Generating Concept Lattices. Journal of Experimental and Theoretical Artificial Intelligence, Vol. 14, no. 2-3, pp. 189-216, 2002. 
2001
  • С.О. Кузнецов, С.А. Объедков, Алгоритмы построения множества всех понятий формального контекста и его диаграммы Хассе. Известия Академии Наук, Теория и системы управления, 2001, № 1-2, С. 120-129.
    Kuznetsov, S.O. and Obedkov, S.A., Algorithms for Constructing a Set of All Concepts of Formal Context and Their Hasse Diagrams. Journal of Computer and Systems Sciences International, Vol. 40, No. 1, pp. 115-124, 2001.
  • S.O. Kuznetsov, Machine Learning on the Basis of Formal Concept Analysis. Automation and Remote Control, Vol. 62, No. 10, pp. 1543-1564, 2001. 
  • S.O. Kuznetsov, On Computing the Size of a Lattice and Related Decision Problems. Order, vol. 18, no. 4, pp. 313-321, 2001. 
  • B. Ganter and S.O. Kuznetsov, Pattern Structures and Their Projections. In: Proc. G. Stumme and H. Delugach, Eds., 9th International Conference on Conceptual Structures (ICCS 2001), Lecture Notes in Artificial Intelligence (Springer), Vol. 2120, pp. 129-142, 2001. 
  • S.O. Kuznetsov and Obiedkov, Algorithms for the Construction of Concept Lattices and Their Diagram Graphs. In: Proc. 5th Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2001), Lecture Notes in Artificial Intelligence (Springer), Vol. 2168, pp. 289-300, 2001. 
2000
  • B. Ganter and S.O. Kuznetsov, Formalizing Hypotheses with Concepts. In: G. Mineau and B. Ganter, Eds., Proc. 8th International Conference on Conceptual Structures (ICCS 2001), Lecture Notes in Artificial Intelligence (Springer), Vol. 1867, pp. 342-356, 2000.  
1999
  • С.О. Кузнецов, О некоторых вопросах анализа понятий. Научно-техническая информация (НТИ), Сер. 2, 1999, № 1-2, С. 57-61.
  • S.O. Kuznetsov, Learning of Simple Conceptual Graphs from Positive and Negative Examples. In: J. Zytkow, J. Rauch, Eds., Proc. 3rd Conference on Principles of Data Mining and Knowledge Discovery (PKDD 1999), Lecture Notes in Artificial Intelligence (Springer), Vol. 1704, pp. 384-392, 1999.  
1998
  • С.О. Кузнецов, Формальный анализ понятий с помощью ДСМ-метода. Труды 6-й Национальной Конференции по Искусственному Интеллекту (КИИ 1998), Пущино, АИИ, Т.2, С. 591-592, 1998.
  • B. Ganter and S.O. Kuznetsov, Stepwise Construction of the Dedekind-MacNeille Completion. In: M-L. Mugnier, M. Chein, Eds., Proc. 6th International Conference on Conceptual Structures (ICCS 1998), Lecture Notes in Artificial Intelligence (Springer), Vol. 1453, pp. 295-302, 1998. 
1997
  • S.O. Kuznetsov, Algorithmic Complexity of Generating Hypotheses and Forecasts in Version Spaces Formed by Concept Lattices. In: Proc. the 1997 International Conference on Intelligent Systems and Semiotics: A Learning Perspective (ISAS 1997), Gaithersburg, MD (USA), September 22-25 (1997), pp. 96-99.
1996
  • С.О. Кузнецов, В.К. Финн, Об одной модели обучения и классификации, основанной на операции сходства. Обозрение Прикладной и Промышленной Математики 3, № 1, 1996, С. 66-90. 
  • Н.В. Зорин, С.О. Кузнецов, Механизм иерархической структуризации больших динамических гипертекстов. Научно-техническая информация (НТИ), Сер. 2, 1996, № 3.
  • S.O. Kuznetsov, Mathematical aspects of concept analysis. Journal of Mathematical Science, Vol. 80, Issue 2, pp. 1654-1698, 1996. 
  • V.K. Finn, T. Gergely, and S.O. Kuznetsov, Plausible Reasoning for Open Problem Domains. In: Proceedings of IEEE International Symposium on Intelligent Control, Dearborn, Michigan, (USA), September 15-18, 1996, pp. 111-116.
  • S.O. Kuznetsov, Concepts, Hypotheses, and Forecasts: An Algorithmic Complexity Perspective. In: Proceedings of the Workshop on Applied Semiotics (W30), European Conference on Artificial Intelligence (ECAI-96), Budapest, August 14-18, 1996, pp. 17-22.
1995
  • С.О. Кузнецов, Сходство в обобщенном ДСМ-методе и алгоритмы его порождения. Научно-техническая информация (НТИ), Сер. 2, 1995, № 6. 
    S.O.Kuznetsov, Similarity in the Generalized JSM Method and Its Generation Algorithms. In: Automatic Documentation and Mathematical Linguistics, Vol. 29, No. 3, pp. 11-20, 1995. 
1994
  • С.О. Кузнецов, Алгоритмическая сложность порождения гипотез и классификаций, основанных на поиске пересечения множеств. Доклады АН, 1994, том. 335, № 3, С. 300-303.
    Kuznetsov, S.O., Algorithmic Complexity Of Generating Hypothesis And Classifications Based On Set Intersection. Doklady Akademii Nauk, 1994, Vol. 335, No. 3, pp. 300-303.
1993
  • С.О. Кузнецов, Быстрый алгоритм построения всех пересечений объектов из конечной полурешетки. Научно-техническая информация (НТИ), Сер. 2, 1993, № 1, С.17-20. 
    S.O.Kuznetsov, A fast algorithm for computing all intersections of objects from an arbitrary semilattice. Nauchno-Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye protsessy i sistemy, No. 1, pp.17-20, 1993.
  • S.O. Kuznetsov, Algorithmic complexity of hypotheses and classification generation in a model based on set-oretic intersection. In: P.Brezillon and V.Stefanyuk, Eds., Proc. of the East-West Conference on Artifical Intelligence (EWAIC-93), Moscow , 1993, pp. 324-327.
1992
  • С.О. Кузнецов, О сложности обучения и классификации, основанных на операции сходства. 3-я Национальная Конференция по Искусственному Интеллекту (КИИ-92), т.1, Тверь, АИИ, 1992, C.32-34.
1991
  • С.О. Кузнецов, Введение в ДСМ-метод. Семиотика и Информатика, 1991, Вып.31., С.5 - 40.
  • С.О. Кузнецов, ДСМ-метод как система автоматического обучения. Итоги науки и техники, Сер. Информатика, 1991, Т. 15, С.17-54.
  • С.О. Кузнецов, Сложность обучения и классификации, основанных на поиске пересечения множеств. Научно-техническая информация (НТИ), Сер. 2, 1991, № 9, С. 8-15. 
    S.O. Kuznetsov, Complexity of Instruction and Classification Based on a Search for Set Intersection, Nauchno-Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye protsessy i sistemy, No.9, pp. 8-15, 1991.
  • С.О. Кузнецов, Модели и методы автоматического обучения. Итоги Науки и Техники, Сер. Вычислительные науки, 1991, Т.7, С.89-137.
1990
  • С.О. Кузнецов, Устойчивость как оценка обоснованности гипотез, получаемых на основе операционального сходства. Научно-техническая информация (НТИ), Сер. 2, 1990, № 12, С.21-29.
    S.O. Kuznetsov, Stability as an Estimate of Degree of Substantiation of Hypotheses Derived on the Basis of Operational Similarity, Nauchno-Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye protsessy i sistemy, No. 12 pp. 21-29, 1990.  
1989
  • В.Г. Ивашко, С.О. Кузнецов, Оценки правдоподобия в продукционных экспертных системах. Сб. Экспертные системы: состояние и перспективы, под ред. Д.А. Поспелова, М., Наука, 1989 С. 92-104.
  • С.О. Кузнецов, Интерпретация на графах и сложностные характеристики задач поиска закономерностей определенного вида. Научно-техническая информация (НТИ), Сер. 2, 1989, № 1, С.23-28.
    S.O. Kuznetsov, Interpretation on Graphs and Complexity Characteristics of a Search for Specific Patterns, Nauchno-Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye protsessy i sistemy, No. 1, pp.23-27, 1989.
1988
  • С.О. Кузнецов, О решетке на множествах графов с частично-упорядоченными пометками. Доклады школы-семинара Семиотические аспекты формализации интеллектуальной деятельности, Боржоми, ВИНИТИ, 1988, Т.1, С. 204-207.
  • С.О. Кузнецов, Определение сходства на гиперграфах как основа правдоподобного вывода на структурированных данных. Доклады 1-й Всесоюзной конференции по искусственному интеллекту, Переславль-Залесский, ВИНИТИ, 1988, Т. 1, С. 442- 448.
  • С.О. Кузнецов, В.К. Финн, Распространение процедур экспертных систем типа ДСМ на графы. Известия АН СССР, Сер. Техническая Кибернетика, 1988, N5, С. 4-11.
    Kuznetsov, S.O. and Finn, V.K., Extension of expert systems procedures of the DSM type to graphs. Soviet journal of computer and systems sciences, 1989, Vol. 27, No. 1, pp. 34-39
1987
  • Zabezhailo, M.I.,Ivashko, V.G., Kuznetsov, S.O., Mikheenkova, M.A., Khazanovskii, K.P., Anshakov, O.M., Algorithm And Program Sources Of The Dsm-method For The Automatic Hypothesis Generation. Nauchno-tekhnicheskaya Informatsiya Seriya 2-informatsionnye Protsessy I Sistemy, No. 10, pp. 1-14, 1987.

Timetable for today

Full timetable

13th International Conference on Concept Lattices and Their Applications 

On July 18-22 the 13th International Conference on Concept Lattices and Their Applications was held at HSE. The conference has been organized since 2002. This year it was held in Russia for the first time. The event was organized by the International Laboratory for Intelligent Systems and Structural Analysis and the  School of Data Analysis and Artificial Intelligence of HSE Faculty of Computer Science.

New Tenured Professors at HSE

On April 29, 2016 at the Academic Council meeting 25 HSE Professors were conferred the status of Tenured Professor.

Computers to Spot Pedophiles

Concept lattices can help spot pedophiles on the web. Researchers of the HSE's Department of Data Analysis and Artificial Intelligence have helped the Dutch police create a computer program that can detect internet pedophiles and even determine how dangerous they can be.

Joint Project with University of Stellenbosch

In the end of November Sergei Kuznetsov, Head of the School of Data Analysis and Artificial Intelligence, and Dmitry Ilvovsky, Junior Research Fellow at the International Laboratory for Intelligent Systems and Structural Analysis visited the University of Stellenbosch in South Africa.

Putting the Joy into Mathematics For Everybody

On Monday 28th September Bernhard Ganter, Professor of Science at the renowned university TU-Dresden in Germany, co-founder and co-director of the Museum of Mathematics, Erlebnisland-Mathematik,  will give a public lecture at HSE on Mathematics as an Adventure.

Alexey Buzmakov Presented Paper at Conference in Porto

On September 7-11 the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases was held in Porto, Portugal.

Lectures by Bernhard Ganter at HSE

In September a series of lectures by Bernhard Ganter, Professor at the Dresden University of Technology will take place at HSE.

Graduate of the School of Data Analysis and Artificial Intelligence Defends Thesis at TU Dresden

On August 21 Artem Revenko defended his thesis on ‘Automatic Construction of Implicative Theories for Mathematical Domains’ at the Faculty of Computer Science at Dresden University of Technology.

10th International Computer Science Symposium in Russia

On July 13th-17th 2015, the 10th International Computer Science Symposium in Russia took place. The largest conference on theoretical informatics in Russia was organized by Irkutsk State University, the Higher School of Economics and Yandex. Vladimir Podolskii, Associate Professor at the Big Data and Information Retrieval School took part in the event as guest speaker. Maxim Babenko, Head of the Joint Department with Yandex also delivered a report during the event.

HSE Student Team Reaches Final of the World Championship in Programming

The HSE team in sport programming has taken part  in the ACM International Collegiate Programming Contest NEERC and reached the final. Following a fierce battle in the semifinal, the HSE students came seventh out of the 250 teams which entered the contest.

ECIR 2013: in Search of Everything

On March 24 -27 2013, the 35th European Conference on Information Retrieval (ECIR) took place in Russia. Yandex and the HSE School of Applied Mathematics and Information Science organized the conference, which was held in Russia for the first time. More than 300 researchers, mainly from Western European research centres and universities, took part .

Meeting of the Alexander von Humboldt Foundation Scholarship Holders at the HSE

On May 3rd and 4th 2011, the annual meeting of the Association of Russian Holders of Scholarships from the Chancellor of Germany and an Alexander von Humboldt Foundation seminar. It included a presentation of projects by 2012 scholarship holders.

Intellectual Integration: Multiply by Two

From June 25th – 29th the HSE School of Applied Mathematics and Informatics will organize two international conferences. Sergey Kuznetsov, Head of the School, told us about the participants, tasks and programmes of both conferences.