Dmitry I. Ignatov

Associate Professor:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
Laboratory Head:Faculty of Computer Science / Laboratory for Models and Methods of Computational Pragmatics

Dmitry I. Ignatov has been at HSE University since 2006.

Education and Degrees

2010
Candidate of Sciences* (PhD) in Mathematical Modelling, Numerical Methods and Software Complexes
HSE University
Thesis Title: Models, Algorithms, and Software Tools of Biclustering Based on Closed Sets
2008
Master's in Applied Mathemitcs and Information Sciences
HSE University, Business Informatics, School of Applied Mathematics and Information Science
2004
Degree in Physics and mathematics (with distinction)
Kolomna State Teacher Training Institute, Physics and mathematics

* 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.

Master of Applied Mathematics and Information Science (2006–2008), State University Higher School of Economics
PhD Student: All-Russian Institute for Scientific and Technical Information of Russian Academy of Science (2004–2008, Theoretical Computer Science (05.13.17))

Professional Interests

data mining machine learning FCA (Formal Concept Analysis)Educational Data Mining biclustering Graph Mining

Awards and Accomplishments

The Ilya Segalovich Award (2019): The academic advisor nomination for the work with young researchers and contribution to the scientific community.
Best Teacher – 2021, 2018, 2016, 2011

Young Faculty Support Program (Group of Young Academic Professionals)
Category "Future Professoriate" (2013-2014)
Category "New Lecturers" (2009-2010)

Responsibilities

– Teaching

– Research

– Laboratory administration

– Committees membership at the Computer Science Faculty and HSE

Editorial board membership

2012: Guest Editor (Associate Editor), International Journal of Conceptual Structures and Smart Applications (IJCSSA).

Conferences

2016
The 13th International Conference on Concept Lattices and Their Applications (CLA2016) (Москва). Presentation: A Lattice-Based Consensus Clustering Algorithm
11-я международная конференция Интеллектуализация обработки информации (Барселона). Presentation: Классификация демографических последовательностей на основе узорных структур
Neural Information Processing Systems 2016 (Барселона). Presentation: Searching for optimal patterns in Boolean tensors
Технологии Баз Данных (Москва). Presentation: Обнаружения знаний в базах данных с помощью мультимодальной кластеризации
2015
6th International Conference on Knowledge Engineering and Semantic Web, KESW 2015 (Moscow). Presentation: Pattern Mining and Machine Learning for Demographic Sequences.
24th International Joint Conference on Artificial Intelligence, IJCAI 2015 (Buenos Aires). Presentation: RAPS: A Recommender Algorithm Based on Pattern Structures.
2014
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (Warsaw). Presentation: Learning Hypotheses from Triadic Labeled Data.
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (Warsaw). Presentation: Recommender System for Crowdsourcing Platform Witology.
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (Warsaw). Presentation: Online Recommender System for Radio Station Hosting: Experimental Results Revisited.
2nd International Conference on Information Technology and Quantitative Management, ITQM 2014 (Москва). Presentation: Concept Learning from Triadic Data.
21st International Conference on Conceptual Structures, ICCS 2014. Presentation: FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology.
11th International Conference on Concept Lattices and Their Applications (CLA 2014). Presentation: A One-pass Triclustering Approach: Is There any Room for Big Data?
The 16th International Conference on Artificial Intelligence: Methodology, Systems, Applications AIMSA 2014 (Варна). Presentation: Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach
2013
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops. Presentation: Social Learning in Networks: Extraction of Deterministic Rules.
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops. Presentation: The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe.
The 20th International Conference on Conceptual Structures (ICCS 2013) (Мумбаи). Presentation: FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms.
European Conference on Information Retrieval 2013 (ECIR 2013) (Москва). Presentation: Near-Duplicate Detection for Online-Shops Owners: An FCA-Based Approach.
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.

Dissertation for a degree of Candidate of Science

2010

D. I. Ignatov Модели, алгоритмы и программные средства бикластеризации на основе замкнутых множеств

Publications

Books³

Book Ignatov D. I., Kuznetsov S., Poelmans J. Concept Discovery in Unstructured Data. 2nd International Workshop, CDUD 2012, Leuven, Belgium, May 2012, Proceedings Issue 871. Leuven : Katholieke Universiteit Leuven, 2012.
Book Naidenova X., Ignatov D. I. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems. Hershey : IGI Global, 2012.
Book Domenach F., Ignatov D. I., Poelmans J. Formal Concept Analysis. 10th International Conference, ICFCA 2012, Leuven, Belgium, May 7-10, 2012 Proceedings Vol. 7278. Berlin, Heidelberg : Springer, 2012.

Articles and book chapters¹²¹

Article Ignatov D. I., Kwuida L. On Shapley value interpretability in concept-based learning with formal concept analysis // Annals of Mathematics and Artificial Intelligence. 2022. Vol. 90. No. 11. P. 1197-1222. doi
Chapter Egurnov D., Точилкин Д. С., Ignatov D. I. Triclustering in Big Data Setting, in: Complex Data Analytics with Formal Concept Analysis. Springer, 2022. doi P. 239-258. doi
Article Egurnov D., Ignatov D. I. Triclusters of Close Values for the Analysis of 3D Data // Automation and Remote Control. 2022. Vol. 83. No. 6. P. 894-902. doi
Article Tianxing M., Lushnov M., Ignatov D. I., Shichkina Y. A., Zhukova N. A., Vodyaho A. I. An ontology-based approach to the analysis of the acid-base state of patients at operative measures // PeerJ Computer Science. 2021. No. 7. Article e777. doi
Chapter Glushkova T., Machnev A., Fenogenova A., Shavrina T., Artemova E., Ignatov D. I. DaNetQA: a yes/no Question Answering Dataset for the Russian Language, in: Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Cham: Springer, 2021. doi P. 57-68. doi
Chapter Muratova A., Ignatov D. I., Mitrofanova E. Machine learning methods for demographic data analysis, in: Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary Proceedings / Ed. by W. M. van der Aalst, V. Batagelj, A. V. Buzmakov, D. I. Ignatov, A. A. Kalenkova, M. Khachay, O. Koltsova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, I. Makarov, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Springer, 2021. doi P. 297-299. doi
Chapter Ignatov D. I., Khvorykh G. V., Khrunin A. V., Nikolic S., Shaban, M., Petrova E. A., Petrova E. A., Koltsova E. A., Takelait F., Egurnov D. Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data, in: Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary Proceedings / Ed. by W. M. van der Aalst, V. Batagelj, A. V. Buzmakov, D. I. Ignatov, A. A. Kalenkova, M. Khachay, O. Koltsova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, I. Makarov, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Springer, 2021. doi P. 185-204. doi
Chapter Ignatov D. I., Яковлева А. С. On Suboptimality of GreConD for Boolean Matrix Factorisation of Contranominal Scales, in: Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 2972. CEUR-WS, 2021. P. 87-98.
Chapter Ignatov D. I., Kwuida L. Interpretable Concept-Based Classification with Shapley Values, in: Ontologies and Concepts in Mind and Machine. 25th International Conference on Conceptual Structures, ICCS 2020. Springer, 2020. P. 90-102. doi
Chapter Ignatov D. I., Иванова П., Замалетдинова А. Mixed Integer Programming for Searching Maximum Quasi-Bicliques, in: Network Algorithms, Data Mining, and Applications. Springer Proceedings in Mathematics & Statistics / Ed. by I. S. Bychkov, V. A. Kalyagin, P. M. Pardalos, O. Prokopyev. Vol. 315. Springer, 2020. doi Ch. 2. P. 19-35. doi
Chapter Ignatov D. I., Kwuida L. Shapley and Banzhaf Vectors of a Formal Concept, in: Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications Vol. 2668. CEUR-WS.org, 2020. P. 259-271.
Chapter Timur Kadyrov, Ignatov D. I. Attribution of Customers’ Actions Based on Machine Learning Approach, in: Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019 / Ed. by A. V. Buzmakov, K. Heinrich, D. I. Ignatov, D. Potapov, R. Tagiew. Vol. 2479. CEUR Workshop Proceedings, 2019. P. 77-88.
Article Grachev A., Ignatov D. I., Savchenko A. Compression of recurrent neural networks for efficient language modeling // Applied Soft Computing Journal. 2019. Vol. 79. P. 354-362. doi
Chapter Kodryan M., Grachev A., Ignatov D. I., Vetrov D. Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks, in: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) Issue W19-43. Florence, Italy: Association for Computational Linguistics, 2019. P. 40-48. doi
Chapter Ignatov D. I., Michael F. General Game Playing B-to-B Price Negotiations⋆, in: Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019 / Ed. by A. V. Buzmakov, K. Heinrich, D. I. Ignatov, D. Potapov, R. Tagiew. Vol. 2479. CEUR Workshop Proceedings, 2019. Ch. 8. P. 89-99.
Chapter Gizdatullin D., Baixeries J., Ignatov D. I., Mitrofanova E., Muratova A., Espy IV T. H. Learning Interpretable Prefix-Based Patterns from Demographic Sequences, in: Intelligent Data Processing 11th International Conference, IDP 2016, Barcelona, Spain, October 10–14, 2016, Revised Selected Papers / Ed. by D. I. Ignatov, В. В. Стрижов, К. В. Воронцов. Vol. 794. Switzerland : Springer, 2019. doi Ch. 6. P. 74-91. doi
Chapter Ignatov D. I., Spesivtsev P., Kurgansky D., Vrabie I., Elizarov S. Multilabel Classification for Inflow Profile Monitoring, in: Proceedings of the MACSPro Workshop 2019 / Ed. by Irina Lomazova, Anna Kalenkova, Р. Яворский. Vol. 2478: CEUR Workshop Proceedings. CEUR-WS.org, 2019. P. 177-184.
Chapter Ignatov D. I., Egurnov D., Точилкин Д. С. Multimodal Clustering of Boolean Tensors on MapReduce: Experiments Revisited, in: Supplementary Proceedings ICFCA 2019 Conference and Workshops Vol. 2378. CEUR Workshop Proceedings, 2019. P. 137-151.
Chapter Ignatov D. I., Ivanova P., Zamaletdinova A., Prokopyev O. Preliminary Results on Mixed Integer Programming for Searching Maximum Quasi-Bicliques and Large Dense Biclusters, in: Supplementary Proceedings ICFCA 2019 Conference and Workshops Vol. 2378. CEUR Workshop Proceedings, 2019. P. 28-32.
Chapter Anna Muratova, Islam R., Mitrofanova E., Ignatov D. I. Searching for Interpretable Demographic Patterns, in: Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7) / Ed. by D. I. Ignatov. Aachen : CEUR Workshop Proceedings, 2019. P. 18-31.
Chapter Ignatov D. I., Egurnov D. Triclustring Toolbox, in: Supplementary Proceedings ICFCA 2019 Conference and Workshops Vol. 2378. CEUR Workshop Proceedings, 2019. P. 65-69.
Chapter Rubtsov V., Kamenshchikov M., Valyaev I., Leksin V., Ignatov D. I. A hybrid two-stage recommender system for automatic playlist continuation, in: 12th ACM Recommender Systems Challenge Workshop, RecSys Challenge 2018; Vancouver; Canada. Vancouver : ACM, 2018. Ch. 16. P. 1-4. doi
Chapter Andreeva E., Ignatov D. I., Grachev A., Savchenko A. Extraction of Visual Features for Recommendation of Products via Deep Learning, in: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi P. 201-210. doi
Article Ignatov D. I. On closure operators related to maximal tricliques in tripartite hypergraphs // Discrete Applied Mathematics. 2018. Vol. 249. P. 74-84. doi
Chapter Makarov I., Dmitry Savostyanov, Boris Litvyakov, Ignatov D. I. Predicting Winning Team and Probabilistic Ratings in Dota 2 and Counter-Strike: Global Offensive Video Games, in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers / Ed. by W. M. van der Aalst, D. I. Ignatov, M. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchenko, S. Wasserman. Vol. 10716. Cham : Springer, 2018. doi P. 183-196. doi
Chapter Anastasia Feygina, Ignatov D. I., Makarov I. Realistic post-processing of rendered 3D scenes, in: Proceedings of ACM SIGGRAPH'18 Posters. NY : Association for Computing Machinery (ACM), 2018. P. 1-2. doi
Chapter Ignatov D. I., Sinkov K., Spesivtsev P., Врабие И. В., Zyuzin V. Tree-Based Ensembles for Predicting the Bottomhole Pressure of Oil and Gas Well Flows, in: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi P. 221-233. doi
Chapter Ignatov D. I., Курситыс В. Д. Understanding Collaborative Filtering with Galois Connections, in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2018) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 2149: CEUR Workshop Proceedings. CEUR-WS, 2018. P. 127-143.
Chapter Tagiew R., Ignatov D. I. Behavior Mining in h-index Ranking Game, in: Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning (EEML 2017), Dresden, Germany, September 17-18, 2017 / Ed. by R. Tagiew, D. I. Ignatov, A. Hilbert, K. Heinrich, R. Delhibabu. Vol. 1968. Aachen : CEUR Workshop Proceedings, 2017. Ch. 6. P. 52-64.
Chapter Gizdatullin D., Ignatov D. I., Mitrofanova E., Muratova A. Classification of Demographic Sequences Based on Pattern Structures and Emerging Patterns, in: 14th International Conference on Formal Concept Analysis - Supplementary Proceedings. University Rennes 1, 2017. P. 49-66.
Chapter Egurnov D., Ignatov D. I., MEPHU NGUIFO E. Mining Triclusters of Similar Values in Triadic Real-Valued Contexts, in: 14th International Conference on Formal Concept Analysis - Supplementary Proceedings. University Rennes 1, 2017. P. 31-47.
Chapter Ignatov D. I., Semenov A., Комиссарова Д. В., Gnatyshak D. V. Multimodal Clustering for Community Detection, in: Formal Concept Analysis of Social Networks / Ed. by R. Missaoui, S. Kuznetsov, S. Obiedkov. Springer, 2017. doi Ch. 4. P. 59-96. doi
Chapter Grachev A., Ignatov D. I., Savchenko A. Neural Networks Compression for Language Modeling, in: Pattern Recognition and Machine Intelligence. 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings. Lecture Notes in Computer Science book series (LNCS, volume 10597). Springer, 2017. doi P. 351-357. doi
Chapter Egurnov D., Ignatov D. I., MEPHU NGUIFO E. On Containment of Triclusters Collections Generated by Quantified Box Operators, in: 23rd International Symposium on Methodologies for Intelligent Systems - Proceedings. Birkhauser/Springer, 2017. doi P. 573-579. doi
Chapter Ignatov D. I., Yurov M. Turning Krimp into a Triclustering Technique on Sets of Attribute-Condition Pairs that Compress, in: Rough Sets - International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3-7, 2017, Proceedings, Part II. Vol. 10314. Cham: Springer, 2017. doi P. 558-569. doi
Chapter Муратова А. А., Игнатов Д. И. Деревья решений для классификации демографических последовательностей // В кн.: Программа секций XVIII Апрельской конференции. Сессия P-04. Исследование демографических последовательностей / Рук.: Д. И. Игнатов. НИУ ВШЭ, 2017. С. 1-13.
Chapter Гиздатуллин Д. К., Игнатов Д. И., Башерье Ж. Поиск закономерностей в индивидуальных демографических траекториях // В кн.: Программа секций XVIII Апрельской конференции. Сессия P-04. Исследование демографических последовательностей / Рук.: Д. И. Игнатов. НИУ ВШЭ, 2017. С. 1-11.
Article Braslavski P., Markov I., Pardalos P. M., Volkovich Y., Koltsov S., Koltsova O., Ignatov D. I. 9th Russian Summer School in Information Retrieval (RuSSIR 2015) // ACM SIGIR Forum. 2016. Vol. 49. No. 2. P. 72-79. doi
Chapter Бочаров А. А., Gnatyshak D. V., Ignatov D. I., Mirkin B., Shestakoff A. A Lattice-based Consensus Clustering Algorithm, in: CLA 2016: Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings / Ed. by M. Huchard, S. Kuznetsov. Vol. 1624. M. : Higher School of Economics, National Research University, 2016. P. 45-56.
Article Kotov A., Treshcheva E., Bessonov L., Ignatov D. I., Volkovich Y., Eskevich M., Braslavski P. Alexander Kotov, Elena Treshcheva, Leonid Bessonov, Dmitry I. Ignatov, Yana Volkovich, Maria Eskevich, Pavel Braslavski: 10th Russian Summer School in Information Retrieval (RuSSIR 2016) // SIGIR Forum (ACM Special Interest Group on Information Retrieval). 2016. Vol. 50. No. 2. P. 28-35. doi
Article Губко М. В., Kuznetsov S., Neznanov A., Ignatov D. I. Bayesian Learning of Consumer Preferences for Residential Demand Response // IFAC-PapersOnLine. 2016. Vol. 49. No. 32. P. 24-29. doi
Chapter Tagiew R., Ignatov D. I. Gift Ratios in Laboratory Experiments, in: Proceedings of the Third Workshop on Experimental Economics and Machine Learning (EEML 2016), Moscow, Russia, July 18, 2016 / Ed. by R. Tagiew, D. I. Ignatov, A. Hilbert, R. Delhibabu. Vol. 1627. Aachen : CEUR Workshop Proceedings, 2016. P. 82-93.
Article Ignatov D. I., Nikolenko S. I., Abaev T., Poelmans J. Online recommender system for radio station hosting based on information fusion and adaptive tag-aware profiling // Expert Systems with Applications. 2016. Vol. 55. P. 546-558. doi
Chapter Ignatov D. I., Khachay M., Labunets V., Loukachevitch N., Nikolenko S. I., Panchenko A., Savchenko A., Vorontsov K. Preface, in: Supplementary Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2016), Yekaterinburg, Russia, April 7-9, 2016. / Ed. by D. I. Ignatov. Vol. 1710. Aachen : CEUR Workshop Proceedings, 2016. P. V-VII.
Chapter Бобриков В. В., Ненова Е. Н., Ignatov D. I. What is a Fair Value of Your Recommendation List?, in: Proceedings of the Third Workshop on Experimental Economics and Machine Learning (EEML 2016), Moscow, Russia, July 18, 2016 / Ed. by R. Tagiew, D. I. Ignatov, A. Hilbert, R. Delhibabu. Vol. 1627. Aachen : CEUR Workshop Proceedings, 2016. P. 1-12.
Chapter Муратова А. А., Гиздатуллин Д. К., Игнатов Д. И., Митрофанова Е. С. Выявление знаний в демографических последовательностях // В кн.: Социология и общество: социальное неравенство и социальная справедливость (Екатеринбург , 19-21 октября 2016 года). Материалы V Всероссийского социологического конгресса / Под общ. ред.: В. А. Мансуров. М. : Российское общество социологов, 2016. С. 9601-9615.
Chapter Гиздатуллин Д. К., Игнатов Д. И., Муратова А. А., Митрофанова Е. С., Baixeries J. Классификация демографических последовательностей на основе узорных структур // В кн.: Тезисы докладов 11-й конференции Интеллектуализация обработки информации. М. : Торус Пресс, 2016. С. 28-29.
Chapter Ignatov D. I., Ахматнуров М. Context-Aware Recommender System Based on Boolean Matrix Factorisation, in: Proceedings of the Twelfth International Conference on Concept Lattices and Their Applications Clermont-Ferrand, France, October 13-16, 2015 Vol. 1466. Clermont-Ferrand : CEUR Workshop Proceedings, 2015. P. 99-110.
Chapter Tagiew R., Ignatov D. I., Delhibabu R. Hospitality Exchange Services as a Source of Spatial and Social Data?, in: 2015 IEEE International Conference on Data Mining Workshop (ICDMW)., Atlantic City, New Jersey/14-17 November 2015. Вашингтон, Токио : IEEE, 2015. P. 1125-1130. doi
Article Ignatov D. I., Nikolenko S. I., Abaev T., Poelmans J. Online recommender system for radio station hosting based on information fusion and adaptive tag-aware profiling // Expert Systems with Applications. 2015. Vol. 55. P. 546-558. doi
Chapter Ignatov D. I., Mitrofanova E., Muratova A., Gizdatullin D. Pattern Mining and Machine Learning for Demographic Sequences, in: Knowledge Engineering and Semantic Web Vol. 518: 6th International Conference, KESW 2015, Moscow, Russia, September 30 - October 2, 2015, Proceedings. Switzerland : Springer, 2015. doi P. 225-239. doi
Chapter Зудин С., Gnatyshak D. V., Ignatov D. I. Putting OAC-triclustering on MapReduce, in: Proceedings of the Twelfth International Conference on Concept Lattices and Their Applications Clermont-Ferrand, France, October 13-16, 2015 Vol. 1466. Clermont-Ferrand : CEUR Workshop Proceedings, 2015. P. 47-58.
Chapter Ignatov D. I., Корнилов Д. И. RAPS: A Recommender Algorithm Based on Pattern Structures, in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI 2015) / Ed. by Sergei O. Kuznetsov, A. Napoli, S. Rudolph. Buenos Aires : , 2015. P. 87-98.
Chapter Ignatov D. I., Sarwar S. M., Hasan M., Billal M. Similarity Aggregation for Collaborative Filtering, in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers / Ed. by M. Y. Khachay, N. Konstantinova, A. Panchenko, D. I. Ignatov, V. Labunets. Vol. 542: Series: Communications in Computer and Information Science. Switzerland : Springer, 2015. (in press)
Chapter Ignatov D. I., Watson B. W. Towards a Unified Taxonomy of Biclustering Methods, in: RuZA 2015 Workshop. Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015). November 30 - December 5, 2015, Stellenbosch, South Africa / Ed. by S. Kuznetsov, B. W. Watson. Vol. 1552. Aachen : CEUR Workshop Proceedings, 2015.
Article Ignatov D. I., Gnatyshak D. V., Sergei O. Kuznetsov, Boris G. Mirkin. Triadic Formal Concept Analysis and triclustering: searching for optimal patterns // Machine Learning. 2015. Vol. 101. No. 1. P. 271-302. doi
Article Кашницкий Ю. С., Игнатов Д. И. Ансамблевый метод машинного обучения, основанный на рекомендации классификаторов // Интеллектуальные системы. Теория и приложения. 2015. Т. 19. № 4. С. 37-55.
Article Braslavski P., Karpov Nikolay, Worring M., Ignatov D. I., Volkovich Y. 8th Russian Summer School in Information Retrieval (RuSSIR 2014) // ACM SIGIR Forum. 2014. Vol. 48. No. 2. P. 105-110. doi
Chapter Gnatyshak D. V., Ignatov D. I., Kuznetsov S., Nourine L. A One-Pass Triclustering Approach: Is There any Room for Big Data?, in: CLA 2014: Proceedings of the Eleventh International Conference on Concept Lattices and Their Applications. Kosice : Pavol Jozef Safarik University, 2014. P. 231-242.
Chapter Ignatov D. I., Ненова Е. Н., Konstantinov A. V., Константинова Н. С. Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach, in: Artificial Intelligence: Methodology, Systems, and Applications 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings / Ed. by G. Agre, P. Hitzler, A. A. Krisnadhi, S. Kuznetsov. Vol. 8722. L., NY, Dordrecht, Heidelberg, Cham : Springer, 2014. P. 47-58.
Chapter Kashnitsky Y., Ignatov D. I. Can FCA-based Recommender System Suggest a Proper Classifier?, in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2014) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 1257. Prague : CEUR Workshop Proceedings, 2014. Ch. 3. P. 17-26.
Article Zhuk R., Ignatov D. I., Konstantinova N. Concept Learning from Triadic Data // Procedia Computer Science. 2014. Vol. 31. P. 928-938. doi
Chapter Ignatov D. I., Kaminskaya A. Y., Malioukov A., Konstantinova N., Poelmans J. FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology, in: Proceedings of International Conference on Conceptual Structures 2014 Vol. 8577: Graph-Based Representation and Reasoning. Springer, 2014. P. 287-292.
Article Poelmans J., Ignatov D. I., Kuznetsov S., Dedene G. Fuzzy and rough formal concept analysis: a survey // International Journal of General Systems. 2014. Vol. 43. No. 2. P. 105-134. doi
Chapter Ignatov D. I., Zhuk R., Konstantinova N. Learning hypotheses from triadic labeled data, in: Proceedings of The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2014, 11-14 August 2014 Warsaw, Poland / Ed. by D. Slezak, H. S. Nguyen, M. Reformat, S. J. Eugene. Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2014. P. 474-480.
Chapter Ignatov D. I., Nikolenko S. I., Abaev T., Konstantinova N. Online Recommender System for Radio Station Hosting: Experimental Results Revisited, in: Proceedings of The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2014, 11-14 August 2014 Warsaw, Poland / Ed. by D. Slezak, H. S. Nguyen, M. Reformat, S. J. Eugene. Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2014. P. 229-236.
Chapter Ignatov D. I., Kaminskaya A. Y., Konstantinova N., Konstantinov A. V. Recommender system for crowdsourcing platform Witology, in: Proceedings of The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2014, 11-14 August 2014 Warsaw, Poland / Ed. by D. Slezak, H. S. Nguyen, M. Reformat, S. J. Eugene. Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2014. P. 327-335.
Chapter Игнатов Д. И. Драфт главы к учебнику. Обзор по методам рекомендательных систем // В кн.: Модели и методы анализа данных. Юрайт, 2014. С. 1-42.
Chapter Nenova Elena, Ignatov D. I., Konstantinov A. V. An FCA-based Boolean Matrix Factorisation for Collaborative Filtering, in: Formal Concept Analysis Meets Information Retrieval 2013 / Ed. by C. Carpineto, A. Napoli, S. Kuznetsov. Vol. 977. Aachen : CEUR Workshop Proceedings, 2013. P. 57-73.
Article Ignatov D. I., Kuznetsov S., Zhukov L. E., Poelmans J. Can triconcepts become triclusters? // International Journal of General Systems. 2013. Vol. 42. No. 6. P. 572-593. doi
Chapter Ignatov D. I., Kaminskaya A. Y., Konstantinov A. V., Bezzubtseva A. A., Poelmans J. FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms, in: Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures / Отв. ред.: H. Pfeiffer, D. I. Ignatov, J. Poelmans, G. Nagarjuna. Vol. 7735: Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures. Berlin, Heidelberg : Springer, 2013. P. 173-192.
Article Poelmans J., Kuznetsov S., Ignatov D. I., Dedene G. Formal Concept Analysis in knowledge processing: A survey on models and techniques // Expert Systems with Applications. 2013. Vol. 40. No. 16. P. 6601-6623. doi
Article Poelmans J., Ignatov D. I., Kuznetsov S., Dedene G. Formal concept analysis in knowledge processing: A survey on applications // Expert Systems with Applications. 2013. Vol. 40. No. 16. P. 6538-6560. doi
Chapter Dmitry V. Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov. From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms, in: CLA 2013 Proceedings of the Tenth International Conference on Concept Lattices and Their Applications. La Rochelle : Laboratory L3i, University of La Rochelle, 2013. P. 249-260.
Article Ignatov D. I., Chubis Y., Konstantinov A. V. Near-Duplicate Detection for Online-Shops Owners: An FCA-Based Approach // Lecture Notes in Computer Science. 2013. Vol. 7814. P. 722-725.
Chapter Tagiew R., Ignatov D. I., Amroush F. Social Learning in Networks: Extraction of Deterministic Rules, in: 2013 IEEE 13th International Conference on Data Mining Workshops. Los Alamitos : IEEE Computer Society, 2013. P. 445-451.
Chapter Bezzubtseva A. A., Ignatov D. I. The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe, in: 2013 IEEE 13th International Conference on Data Mining Workshops. Los Alamitos : IEEE Computer Society, 2013. P. 426-432.
Article Константинов А. В., Каминская А. Ю., Игнатов Д. И. Анализ данных в краудсорсинговых проектах // Открытые системы. СУБД. 2013. № 1. С. 36-39.
Chapter Игнатов Д. И. Валентина Алексеевна Голубева: Математик // В кн.: Поколения ВШЭ. Ученики об учителях. М. : Издательский дом НИУ ВШЭ, 2013. С. 123-127.
Chapter Ignatov D. I., Poelmans J., Dedene G., Viaene S. A New Cross-Validation Technique to Evaluate Quality of Recommender Systems, in: Perception and Machine Intelligence. First Indo-Japan Conference, PerMIn 2012, Kolkata, India, January 12-13, 2011, Proceedings / Ed. by M. K. Kundu, S. Mitra, D. Mazumdar, S. K. Pal. Vol. 7143. Berlin, Heidelberg : Springer, 2012. P. 195-202.
Chapter Zaharchuk V. V., Ignatov D. I., Konstantinov A. V., Nikolenko S. I. A New Recommender System for the Interactive Radionetwork FMHost, in: EEML 2012 – Experimental Economics in Machine Learning / Ed. by R. Tagiew, D. I. Ignatov, A. Neznanov, J. Poelmans. Leuven : Katholieke Universiteit Leuven, 2012. P. 72-85.
Chapter Bezzubtseva A., Ignatov D. I. A Typology of Collaboration Platform Users, in: Proceedings of International Workshop on Experimental Economics in Machine Learning 2012 / Отв. ред.: R. Tagiew, D. I. Ignatov, A. Neznanov, J. Poelmans. KU-Leuven, 2012. P. 9-19.
Article Ignatov D. I., Poelmans J., Dedene G., Viaene S. A new cross-validation technique to evaluate quality of recommender systems // Lecture Notes in Computer Science. 2012. Vol. 7143 LNCS. P. 195-202.
Chapter Gnatyshak D. V., Ignatov D. I., Semenov A., Poelmans J. Analysing Online Social Network Data with Biclustering and Triclustering, in: Concept Discovery in Unstructured Data. 2nd International Workshop, CDUD 2012, Leuven, Belgium, May 2012, Proceedings Issue 871. Leuven : Katholieke Universiteit Leuven, 2012. P. 30-39.
Chapter Ignatov D. I., Poelmans J. Bimodal Cross-Validation Approach for Recommender Systems Diagnostics, in: Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems. Hershey : IGI Global, 2012. Ch. 8. P. 185-195. doi
Chapter Ignatov D. I., Kaminskaya A. Y., Bezzubtseva A. A., Artemova E., Blinkin K. N., Nedumov D. R., Chugunova O. N., Konstantinov A. V., Romashkin N. S., Strok F. V., Goncharova D., Yavorskiy R. CrowDM: the System for Collaborative Platform Data Analysis, in: EEML 2012 – Experimental Economics in Machine Learning / Ed. by R. Tagiew, D. I. Ignatov, A. Neznanov, J. Poelmans. Leuven : Katholieke Universiteit Leuven, 2012. P. 61-71.
Chapter Gnatyshak D. V., Ignatov D. I., Semenov A., Poelmans J. Gaining Insight in Social Networks with Biclustering and Triclustering, in: Perspectives in Business Informatics Research. 11th International Conference, BIR 2012, Nizhny Novgorod, Russia, September 2012 Proceedings / Ed. by N. Aseeva, E. Babkin, O. Kozyrev. Issue 128. Berlin, Heidelberg : Springer, 2012. P. 162-171.
Article Gnatyshak D. V., Ignatov D. I., Semenov A. Gaining insight in social networks with biclustering and triclustering // Lecture Notes in Business Information Processing. 2012. Vol. 128 LNBIP. P. 162-171. doi
Chapter Ignatov D. I., Kaminskaya A. Y., Bezzubtseva A. A., Artemova E., Blinkin K. N., Nedumov D. R., Chugunova O. N., Konstantinov A. V., Romashkin N. S., Strok F. V., Goncharova D., Poelmans J., Yavorskiy R. Mining Complex Data Generated by Collaborative Platforms, in: Перспективные направления исследований в области бизнес-информатики: Материалы XI международной конференции / Отв. ред.: N. Aseeva, O. Kozyrev.; Ed. by E. Babkin. Nizhny Novgorod : Higher School of Economics in Nizhny Novgorod, 2012. P. 7-17.
Chapter Ignatov D. I., Konstantinov A. V., Nikolenko S. I., Poelmans J., Zaharchuk V. V. Online Recommender System for Radio Station Hosting, in: Perspectives in Business Informatics Research. 11th International Conference, BIR 2012, Nizhny Novgorod, Russia, September 2012 Proceedings / Ed. by N. Aseeva, E. Babkin, O. Kozyrev. Issue 128. Berlin, Heidelberg : Springer, 2012. P. 1-12.
Article Poelmans J., Kuznetsov S., Ignatov D. I., Elzinga P. Semi-automated knowledge discovery: identifying and profiling human trafficking // International Journal of General Systems. 2012. Vol. 41. No. 8. P. 774-804. doi
Chapter Poelmans J., Ignatov D. I., Viaene S., Dedene G., Kuznetsov S. Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research, in: Advances in Data Mining. Applications and Theoretical Aspects. 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings / Ed. by P. Perner. Vol. 7377. Berlin, Heidelberg : Springer, 2012. P. 273-287.
Chapter 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 // В кн.: Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012 (16-20 октября 2012 г., г. Белгород, Россия). Том 2 Т. 2. Белгород : Белгородский государственный технологический университет им. В.Г. Шухова, 2012. С. 66-73.
Chapter Игнатов Д. И. Анализ формальных понятий: от теории к практике // В кн.: Анализ изображений, сетей и текстов. Доклады всероссийской научной конференции АИСТ'12. Модели, алгоритмы и инструменты анализа данных; результаты и возможности для анализа изображений, сетей и текстов. Екатеринбург, 16 – 18 марта 2012 года / Науч. ред.: Д. И. Игнатов, Р. Э. Яворский. Вып. 1. М. : Национальный открытый университет «ИНТУИТ», 2012. С. 3-15.
Chapter Секинаева З. Р., Игнатов Д. И. Метод спектральной трикластеризации для систем совместного пользования ресурсами // В кн.: Анализ изображений, сетей и текстов. Доклады всероссийской научной конференции АИСТ'12. Модели, алгоритмы и инструменты анализа данных; результаты и возможности для анализа изображений, сетей и текстов. Екатеринбург, 16 – 18 марта 2012 года / Науч. ред.: Д. И. Игнатов, Р. Э. Яворский. Вып. 1. М. : Национальный открытый университет «ИНТУИТ», 2012. С. 246-254.
Chapter Захарчук В. В., Игнатов Д. И., Константинов А. В., Николенко С. И. Модель рекомендательной системы для интерактивного радиосервиса FMhost // В кн.: Интеллектуализация обработки информации ИОИ: 9-я международная конференция. Черногория, г. Будва, 2012 г.: сборник докладов / Отв. ред.: К. В. Воронцов. М. : Торус Пресс, 2012. С. 617-620.
Chapter Кузнецов С. О., Незнанов А. А., Игнатов Д. И., Пульманс Й. Новые программные средства разработки данных, поддерживающие методологию Cordiet // В кн.: Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012 (16-20 октября 2012 г., г. Белгород, Россия). Том 4 Т. 4. Белгород : Белгородский государственный технологический университет им. В.Г. Шухова, 2012. С. 15-23.
Chapter Игнатов Д. И., Кузнецов С. О., Пульманс Й. Разработка данных систем совместного пользования ресурсами: от трипонятий к трикластерам // В кн.: Математические методы распознавания образов: 15-я Всероссийская конференция, г.Петрозаводск, 11–17 сентября 2011 г.: Сборник докладов / Науч. ред.: К. В. Воронцов. М. : МАКС Пресс, 2012. С. 258-261.
Chapter Венжега А. В., Гнатышак Д. В., Игнатов Д. И., Константинов А. В. Рекомендательная система парфюмерной продукции и ее тегов на основе трикластеризации // В кн.: Интеллектуализация обработки информации ИОИ: 9-я международная конференция. Черногория, г. Будва, 2012 г.: сборник докладов / Отв. ред.: К. В. Воронцов. М. : Торус Пресс, 2012. С. 601-604.
Chapter Игнатов Д. И., Каминская А. Ю., Константинов А. В., Кузнецов С. О. Система анализа данных коллаборативных платформ CROWDM // В кн.: Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012 (16-20 октября 2012 г., г. Белгород, Россия). Том 2 Т. 2. Белгород : Белгородский государственный технологический университет им. В.Г. Шухова, 2012. С. 74-81.
Chapter Игнатов Д. И., Каминская А. Ю., Беззубцева А. А., Блинкин К. Н. Система анализа данных коллаборативных платформ CrowDM // В кн.: Анализ изображений, сетей и текстов. Доклады всероссийской научной конференции АИСТ'12. Модели, алгоритмы и инструменты анализа данных; результаты и возможности для анализа изображений, сетей и текстов. Екатеринбург, 16 – 18 марта 2012 года / Науч. ред.: Д. И. Игнатов, Р. Э. Яворский. Вып. 1. М. : Национальный открытый университет «ИНТУИТ», 2012. С. 16-26.
Chapter 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.: сборник докладов / Отв. ред.: К. В. Воронцов. М. : Торус Пресс, 2012. С. 609-612.
Chapter Poelmans J., Elzinga P., Neznanov A., Viaene S., Kuznetsov S., Ignatov D. I., Dedene G. Concept Relation Discovery and Innovation Enabling Technology (CORDIET), in: CDUD'11 – Concept Discovery in Unstructured Data Workshop co-located with the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011), June 2011, Moscow, Russia / Ed. by D. I. Ignatov, S. Kuznetsov, J. Poelmans. Issue 757. M. : Higher School of Economics Publishing House, 2011. P. 53-62.
Chapter Ignatov D. I., Kuznetsov S., Zhukov L. E. From Triconcepts to Triclusters, in: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings / Ed. by S. Kuznetsov, D. Slezak, D. H. Hepting, B. Mirkin. Vol. 6743. Berlin, Heidelberg : Springer, 2011. P. 257-264.
Chapter Romashkin N. S., Ignatov D. I., Gorbunova E. How university entrants are choosing their department? Mining of university admission process with FCA taxonomies, in: International Conference on Educational Data Mining (EDM) 2011. Proceedings of the 4th International Conference on Educational Data Mining. Eindhoven, 6-8 July, 2011 / Ed. by M. Pechenizkiy, T. Calders, C. Conati, S. Ventura, C. Romero, J. Stamper. Eindhoven : Eindhoven University of Technology, 2011. P. 229-234.
Chapter Ignatov D. I., Poelmans J., Zaharchuk V. V. Recommender System Based on Algorithm of Bicluster Analysis RecBi, in: CDUD'11 – Concept Discovery in Unstructured Data Workshop co-located with the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011), June 2011, Moscow, Russia / Ed. by D. I. Ignatov, S. Kuznetsov, J. Poelmans. Issue 757. M. : Higher School of Economics Publishing House, 2011. P. 122-126.
Chapter Ignatov D. I., Romashkin N. S., Shamshurin I., Mamedova S. What can closed sets of students and their marks say?, in: International Conference on Educational Data Mining (EDM) 2011. Proceedings of the 4th International Conference on Educational Data Mining. Eindhoven, 6-8 July, 2011 / Ed. by M. Pechenizkiy, T. Calders, C. Conati, S. Ventura, C. Romero, J. Stamper. Eindhoven : Eindhoven University of Technology, 2011. P. 223-228.
Chapter Пульманс Й., Игнатов Д. И., Ван Хюлле М., Виене С., Дедене Г., Элзинга П. Анализ текстов полицейских отчетов с помощью эмерджентых самоорганизующихся карт и многомерного шкалирования // В кн.: Интегрированные модели и мягкие вычисления в искусственном интеллекте. Сборник научных трудов VI международной научно-технической конференции (Коломна, 16-19 мая 2011 г.). В 2-х томах / Науч. ред.: В. Тарасов. Т. 2. М. : Физматлит, 2011. С. 915-925.
Chapter Игнатов Д. И., Магизов Р. А. Анализ тримодальных данных на примере Интернет-сервисов социальных закладок // В кн.: Социологические методы в современной исследовательской практике: Сборник статей, посвященный памяти первого декана факультета социологии НИУ ВШЭ А.О. Крыштановского [Электронный ресурс] / Отв. ред.: О. А. Оберемко. М. : Издательский дом НИУ ВШЭ, 2011. С. 315-322.
Article Пульманс Й., Игнатов Д. И. Анализ формальных понятий и его приложения // Инженерия знаний и технологии семантического веба. 2011. № 2. С. 9-18.
Chapter Игнатов Д. И., Хавенсон Т. Е. Изучение ресурсной обеспеченности российских школ с помощью методов, основанных на решетках понятий // В кн.: Социологические методы в современной исследовательской практике: Сборник статей, посвященный памяти первого декана факультета социологии НИУ ВШЭ А.О. Крыштановского [Электронный ресурс] / Отв. ред.: О. А. Оберемко. М. : Издательский дом НИУ ВШЭ, 2011. С. 29-34.
Chapter Игнатов Д. И., Кузнецов С. О. Бикластеризация объектно-признаковых данных на основе решеток замкнутых множеств // В кн.: Двенадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2010 (20-24 сентября 2010 г., г. Тверь, Россия). Труды конференции. Том 1 Т. 1. М. : Физматлит, 2010. С. 175-182.
Chapter Игнатов Д. И., Каминская А. Ю., Кузнецов С. О., Магизов Р. А. Метод бикластеризации на основе объектных и признаковых замыканий // В кн.: Интеллектуализация обработки информации: 8-я международная конференция. Республика Кипр, г. Пафос, 17–24 октября 2010 г.: Сборник докладов / Науч. ред.: К. В. Воронцов. М. : МАКС Пресс, 2010. С. 140-143.
Chapter Игнатов Д. И., Каминская А. Ю., Магизов Р. А. Метод скользящего контроля для оценки качества рекомендательных интернет-сервисов // В кн.: Двенадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2010 (20-24 сентября 2010 г., г. Тверь, Россия). Труды конференции. Том 1 Т. 1. М. : Физматлит, 2010. С. 175-182.
Article Игнатов Д. И. Практикум по добыче данных // Открытые системы. СУБД. 2010. № 6. С. 49-51.
Article Ignatov D. I., Kuznetsov S. Frequent Itemset Mining for Clustering Near Duplicate Web Documents // Lecture Notes in Artificial Intelligence. 2009. Vol. 5662. P. 185-200.
Chapter Ignatov D. I., Kuznetsov S. Frequent Itemset Mining for Clustering Near Duplicate Web Documents, in: Conceptual Structures: Leveraging Semantic Technologies. 17th International Conference on Conceptual Structures, ICCS 2009, Moscow, Russia, July 26-31, 2009, Proceedings / Ed. by S. Rudolph, F. Dau, S. Kuznetsov. Vol. 5662. Berlin, Heidelberg : Springer, 2009. P. 185-200.
Chapter Ignatov D. I., Kuznetsov S. From Triconcepts to Triclusters, in: Conceptual Structures: Leveraging Semantic Technologies. 17th International Conference on Conceptual Structures, ICCS 2009, Moscow, Russia, July 26-31, 2009, Proceedings / Ed. by S. Rudolph, F. Dau, S. Kuznetsov. Vol. 5662. Berlin, Heidelberg : Springer, 2009. P. 185-200.
Article Игнатов Д. И. Раскопки сетевых данных // Открытые системы. СУБД. 2009. № 9. С. 34-37.
Chapter Ignatov D. I., Kuznetsov S. Concept-based Recommendations for Internet Advertisement, in: CLA 2008. Proceedings of the Sixth International Conference on Concept Lattices and Their Applications / Ed. by R. Belohlavek, S. Kuznetsov. Olomouc : Palacky University, 2008. P. 157-166.
Article Игнатов Д. И., Кузнецов С. О., Селицкий И. А. Разработка и апробация системы поиска дубликатов в текстах проектной документации // Бизнес-информатика. 2008. № 4. С. 21-28.

Edited⁴¹

Book Analysis of Images, Social Networks and Texts. 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers / Ed. by E. Burnaev, D. I. Ignatov, S. Ivanov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, J. Saramäki, A. Savchenko, E. Tsymbalov, E. Tutubalina. Cham : Springer, 2022. doi
Book Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Cham: Springer, 2021. doi
Book Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary Proceedings / Ed. by W. M. van der Aalst, V. Batagelj, A. V. Buzmakov, D. I. Ignatov, A. A. Kalenkova, M. Khachay, O. Koltsova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, I. Makarov, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Springer, 2021. doi
Book AIST: International Conference on Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / Ed. by W. van der Aalst, V. Batagelj, D. I. Ignatov, М. Ю. Хачай, V. Kuskova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. V. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 1086. Cham: Springer, 2020. doi
Book Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Lecture Notes in Computer Science, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Y. Khachay, V. Kuskova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 11832. Cham : Springer, 2019. doi
Book EEML 2019: Experimental Economics and Machine Learning: Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7) / Отв. ред.: D. I. Ignatov, A. V. Buzmakov. CEUR Workshop Proceedings, 2019.
Book Intelligent Data Processing 11th International Conference, IDP 2016, Barcelona, Spain, October 10–14, 2016, Revised Selected Papers / Ed. by D. I. Ignatov, В. В. Стрижов, К. В. Воронцов. Vol. 794. Switzerland : Springer, 2019. doi
Book Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019 / Ed. by A. V. Buzmakov, K. Heinrich, D. I. Ignatov, D. Potapov, R. Tagiew. Vol. 2479. CEUR Workshop Proceedings, 2019.
Book Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7) / Ed. by D. I. Ignatov. Aachen : CEUR Workshop Proceedings, 2019.
Book Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers / Ed. by W. M. van der Aalst, D. I. Ignatov, M. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchenko, S. Wasserman. Vol. 10716. Cham : Springer, 2018. doi
Book Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018 / Ed. by W. van der Aalst, D. I. Ignatov. Springer, 2018.
Book CLA 2018: The 14th International Conference on Concept Lattices and Their Applications / Ed. by D. I. Ignatov, L. Nourine. CEUR Workshop Proceedings, 2018.
Book Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi
Book Supplementary Proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2018), Moscow, Russia, July 5-7, 2018 / Ed. by W. van der Aalst,, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay,, O. Koltsova,, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Aachen : CEUR Workshop Proceedings, 2018.
Book Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information Science / Ed. by D. I. Ignatov, M. Y. Khachay, V. Labunets, N. V. Loukachevitch, S. I. Nikolenko, A. Panchenko, A. Savchenko, K. V. Vorontsov. Vol. 661. Switzerland : Springer, 2017. doi
Book Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning (EEML 2017), Dresden, Germany, September 17-18, 2017 / Ed. by R. Tagiew, D. I. Ignatov, A. Hilbert, K. Heinrich, R. Delhibabu. Vol. 1968. Aachen : CEUR Workshop Proceedings, 2017.
Book Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27-29, 2017 / Ed. by W. van der Aalst, M. Y. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchencko, S. Wasserman, D. I. Ignatov. Vol. 1975. Aachen : CEUR-WS.org, 2017.
Book Программа секций XVIII Апрельской конференции. Сессия P-04. Исследование демографических последовательностей / Рук.: Д. И. Игнатов. НИУ ВШЭ, 2017.
Book CDUD 2016 – The 3rd International Workshop on Concept Discovery in Unstructured Data / Ed. by J. Baixeries, D. I. Ignatov, D. Ilvovsky, A. Panchenko. CEUR Workshop Proceedings, 2016.
Book Information Retrieval. 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers / Ed. by P. Braslavski, P. Markov, Y. Volkovich, D. I. Ignatov, S. Koltsov, O. Koltsova, P. M. Pardalos. Vol. 573. Switzerland : Springer, 2016. doi
Book Proceedings of the Third Workshop on Experimental Economics and Machine Learning (EEML 2016), Moscow, Russia, July 18, 2016 / Ed. by R. Tagiew, D. I. Ignatov, A. Hilbert, R. Delhibabu. Vol. 1627. Aachen : CEUR Workshop Proceedings, 2016.
Book SCAKD 2016 – The Second International Workshop on Soft Computing Applications and Knowledge Discovery. Proceedings of the Second International Workshop on Soft Computing Applications and Knowledge Discovery. July 18, 2016 / Ed. by M. Ojeda-Aciego, D. I. Ignatov, A. Lepskiy. Vol. 1687. CEUR Workshop Proceedings, 2016.
Book Supplementary Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2016), Yekaterinburg, Russia, April 7-9, 2016. / Ed. by D. I. Ignatov. Vol. 1710. Aachen : CEUR Workshop Proceedings, 2016.
Book Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers / Ed. by M. Y. Khachay, N. Konstantinova, A. Panchenko, D. I. Ignatov, V. Labunets. Vol. 542: Series: Communications in Computer and Information Science. Switzerland : Springer, 2015.
Book Information Retrieval. 8th Russian Summer School, RuSSIR 2014, Nizhniy, Novgorod, Russia, August 18-22, 2014, Revised Selected Papers / Отв. ред.: N. Karpov, D. I. Ignatov, P. Braslavski. Vol. 505. Switzerland : Springer, 2015. doi
Book Analysis of Images, Social Networks and Texts / Ed. by D. I. Ignatov, M. Khachay, A. Panchenko, N. Konstantinova, R. Yavorsky. Vol. 436: 3rd International Conference on Analysis of Images, Social networks, and Texts. NY : Springer, 2014.
Book Analysis of Images, Social Networks and Texts Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers / Ed. by D. I. Ignatov, M. Y. Khachay, A. Panchenko, N. Konstantinova, R. Yavorskiy. Vol. 439. Berlin : Springer, 2014.
Book Communications in Computer and Information Science / Ed. by D. I. Ignatov, M. Y. Khachay, A. Panchenko, N. Konstantinova, R. Yavorskiy. Vol. 436: Analysis of Images, Social Networks and Texts. Third International Conference, AIST 2014 Yekaterinburg, Russia, April 10–12, 2014 Revised Selected Papers. Cham : Springer, 2014.
Book Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014) / Ed. by D. I. Ignatov, M. Y. Khachay, A. Panchenko, N. Konstantinova, R. Yavorsky, D. Ustalov. Vol. 1197: Supplementary Proceedings of AIST 2014. Ekaterinburg : CEUR Workshop Proceedings, 2014.
Book Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures / Отв. ред.: H. Pfeiffer, D. I. Ignatov, J. Poelmans, G. Nagarjuna. Vol. 7735: Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures. Berlin, Heidelberg : Springer, 2013.
Book DC ECIR 2012 -- Doctoral Consortium Doctoral Consortium is associated with the 35th European Conference on Infor- mation Retrieval (ECIR 2013) March 24, 2013, Moscow, Russia / Ed. by H. Joho, D. I. Ignatov. M. : HSE, 2013.
Book MSEPS 2013 -- Modeling States, Events, Processes and Scenarios, The proceedings / Ed. by Д. И. Муромцев, К. Пшеничный, D. I. Ignatov. M. : HSE, 2013.
Book Доклады всероссийской научной конференции АИСТ’2013 / Отв. ред.: Артемова Е. Л.; науч. ред.: Д. И. Игнатов, М. Ю. Хачай, О. Баринова. М. : Национальный открытый университет «ИНТУИТ», 2013.
Book CDUD 2012 - Concept Discovery in Unstructured Data / Ed. by S. Kuznetsov, D. I. Ignatov, J. Poelmans. Leuven : Katholieke Universiteit Leuven, 2012.
Book EEML 2012 – Experimental Economics in Machine Learning / Ed. by R. Tagiew, D. I. Ignatov, A. Neznanov, J. Poelmans. Leuven : Katholieke Universiteit Leuven, 2012.
Book Proceedings of International Workshop on Experimental Economics in Machine Learning 2012 / Отв. ред.: R. Tagiew, D. I. Ignatov, A. Neznanov, J. Poelmans. KU-Leuven, 2012.
Book Анализ изображений, сетей и текстов. Доклады всероссийской научной конференции АИСТ'12. Модели, алгоритмы и инструменты анализа данных; результаты и возможности для анализа изображений, сетей и текстов. Екатеринбург, 16 – 18 марта 2012 года / Науч. ред.: Д. И. Игнатов, Р. Э. Яворский. Вып. 1. М. : Национальный открытый университет «ИНТУИТ», 2012.
Book CDUD'11 – Concept Discovery in Unstructured Data Workshop co-located with the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011), June 2011, Moscow, Russia / Ed. by D. I. Ignatov, S. Kuznetsov, J. Poelmans. Issue 757. M. : Higher School of Economics Publishing House, 2011.
Book ICFCA 2012 – International Conference on Formal Concept Analysis. Contributions to the 10th International Conference on Formal Concept Analysis (ICFCA 2012), May 2012, Leuven, Belgium / Ed. by F. Domenach, D. I. Ignatov, J. Poelmans. Issue 876. Leuven : Katholieke Universiteit Leuven, 2011.
Book Proceedings of International Workshop on Concept Discovery in Unstructured Data / Отв. ред.: D. I. Ignatov, S. Kuznetsov, J. Poelmans.; Ed. by J. Poelmans, D. I. Ignatov, S. Kuznetsov. Vol. 757. Aachen : CEUR Workshop Proceedings, 2011.
Book SCAKD'11 - Soft Computing applications and Knowledge Discovery. Workshop co-located with the 13th International Conference on Rough Sets,Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011) and the 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI-2011), June 2011, Moscow, Russia / Ed. by A. Averkin, D. I. Ignatov, S. Mitra, J. Poelmans, V. Tarasov. Vol. 758. M. : Higher School of Economics Publishing House, 2011.

Working papers³

Preprint Ignatov D. I., Khvorykh G. V., Khrunin A. V., Nikolic S., Shaban M., Petrova E. A., Koltsova E. A., Fouzi T., Egurnov D. Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data / Springer. Series LNCS "Lecture Notes in Computer Science". 2020. (in press)
Preprint Egurnov D., Ignatov D. I., Точилкин Д. С. Triclustering in Big Data Setting / Springer. Series LNCS "Lecture Notes in Computer Science". 2020. (in press)
Preprint Ignatov D. I., Nikolenko S. I., Abaev T., Poelmans J. Improving Quality Of Service For Radio Station Hosting: An Online Recommender System Based On Information Fusion / NRU Higher School of Economics. Series MAN "Management". 2014. No. 31.

Postgraduate courses

PhD student: All Russian Institute for Scientific and Technical Information (year of graduation: 2008, specialization: Theoretical Computer Science (05.13.17))
Applicant for defence: HSE (year of entrance: 2010, specialization: Mathematical Modelling, Numeric Methods, and Software Systems (05.13.18))

Research interests

Machine Learning and Data Mining
Formal Concept Analysis, Frequent (Closed) Sets and Association Rules Mining
Biclustering, Triclustering and Multi-dimensional Clustering, Graph Mining
Educational Data Mining
Recommender Systems
Analysing Social Resource Sharing and Crowdsourcing Systems

Homepage

http://sites.google.com/site/dmitriiignatov/

Research projects and grants

Grant Yandex № 102820 - "Optimization of web page near-duplicate detection: image and similarity" (2004 – 2005)
PhD student of the Postgraduate Programme "Specification of Discrete Processes and Systems of Processes by Operational Models and Logics", Department of Computer Science, Dresden University of Technology (2005) under Prof. Bernhard Ganter supervision supported by DAAD
Developing practical course and workbook on "Lattice theory for Data Mining", grant of Innovative Educational Programme, HSE (2006-2007)
Project of the programme «Teacher-pupils» HSE № 08-04-0022 «Developing methods for building taxomies of objects based concept lattices and biclustering methods» (2007-2009)
Grant RFBR № 08-07-92497-NTSNIL_а "Biclustering on relation structures" (2008-2010)
Grant RFBR 09-07-06030-г "Organinzng 17th International Conference on Conceptual Structures" (2009)
Developing practical course on "Systems of Machine Learning and Data Mining", Grant of "Foundation for educational innovations " HSE (2010)
Grant RFBR 11-07-06058-г "Organizing 4-th International Conference on Pattern Recognition and Machine Intelligence, PReMI-2011 and 13-th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC-2011)" (2011)
Project-educational team “Algorithms of intelligence data analysis (Data Mining) for Web-forums for disscussion of innovation projects” (joint project of AMI HSE department and Witology Company, chair) (2011-2012)
Grant RFBR 13-07-00504 "Building taxonomies of different domains and implication dependencies systems for large text collections" (2013-2015)
Grant RFBR 13-07-06003-г "Organizing 35-th European Conference on Infromation Retrieval (ECIR 2013)" (2013)

Other activities

Conference Program Chair: 10th International Conference on Formal Concept Analysis (ICFCA-2012), 20th International Conference on Formal Concept Analysis (ICCS 2013), 3rd (1st and 2nd) International Conference on Analysis of Images, Social networks, and Texts (AIST 2014)
Organizing Chair of 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI-2011) and 13th International Conference on Rough Sets, Data Mining, Fuzzy Sets and Granular Computing (RSFDGrC-2011)
Program committee member: RSFDGrC-2011, AIST2012, 2013, 2014, FCA4AI co-located with ECAI 2012, ECIR2013, ICFCA2013, CLA2013, ICFCA2014, JRS2013 (RSFDGrC13 and RSKT2013), WI 2014, ICCS 2014, CIKM 2016.
Workshop's program chair: CDUD-2011, SCAKD-2011, CDUD-2012, EEML-2012, EEML-2013
Workshop and tutorial chair: ICCS 2013
Proceedings Chair: ECIR2013
Secretary of 17-th International Conference on Conceptual Structures (ICCS-2009)
Reviewer for journals: Machine Learning, Discrete Applied Mathematics, Information Sciences (Special Issues "Information Engineering Applications Based on Lattices" and "Swarm Inelligence and Applications" and regular issues), Knowledge-Based Systems, General Systems, Data & Knowledge Engineering, WIREs Data Mining and Knowledge Discovery, Fundamenta Informatica, Expert Systems with Applications, Behaviour and Information Technology, Computers in Human Behavior, Procedia - Social and Behavioral Sciences, Computational Economics and Econometrics, Machine Learning and Cybernetics, Volcanology and geothermal research; Reviewer for conferences: KESW2011, KESW2012, ICDM2012, ИОИ2012, ASNA2012, AAAI 2015, IJCAI 2016.
ACM member (since 2011)
Guest researcher at Eindhoven University of Technology (TU/e), July 2011
Official opponent at the PhD (candidate of physical and mathematical sciences) defence of Vasily Leksin on "Probabilistic Models in Client Environment Analysis", Dorodnicyin Computing Centre of Russian Academy of Sciences, Moscow, December 22, 2011
Official opponent at the PhD (candidate of technical sciences) defence of Igor Sokolov on "Methods and Models of Structure Recovering for Group Telemetry Signal", Saint Petersburg Electrotechnical University "LETI", May 16, 2012
Official opponent at the PhD (candidate of technical sciences) defence of Alexander Frey on "Group-Theoretic Approach to Combinatorial Overfitting Theory", Dorodnicyin Computing Centre of Russian Academy of Sciences, Moscow, December 19, 2013
Dmitry I. Ignatov <-- Sergei O. Kuznetsov <-- Bernhard Ganter <-- Ronald C. Mullin <-- Paul Erdos

1. Dmitry I. Ignatov <-- Sergei O. Kuznetsov <-- Bernhard Ganter <-- Alexander Rosa <-- Paul Erdos

Interview

French Online Magazine L'Atelier

http://www.atelier.fr/informatique/10/29062009/publicite-mot-cle-marketing-russie-38431-.html (In French)

Magazine about Kolomna "City"

Scientific society (In Russian)

Interview for HSE news

Towards the scientific approach to buy a car and child birth bearing (In Russian)

Advanced training

ICCL Summer School 2008 on Computational Logic and Cognitive Science at the Technical University of Dresden (TUD), Germany
Курсы повышения квалификации ГУ-ВШЭ, General English Upper-Intermediate Level, 2009-2010, 2010-2011
Summer School Reasoning Web 2010: Semantic Technologies for Software Engineering at the Technical University of Dresden (TUD), Germany

Students' diploma thesis

Master theses

Formal Concept Analysis for Analysing Sociological Data (Mamedova Serafima, 2011)
FCA-based Models and Algorithms for Recommender Sytems (Ponomareva Darya, 2011)
Triclustering for Analysing Social Resource Sharing Systems (Sekinaeva Zarina, 2011)
Machine Learing Techniques for Credit Scoring Tasks (Sekinaeva Marina, 2011)
Multimodal Data Clustering: Take Time Into Account (Belov Оleg, 2011)
Recommender systems based on closed sets and matrix factorization (Елена Ненова, 2012)
Machine Learning for Opinion Mining of Internet Users (Елена Ртищева, 2012)
Models and algorithms of near-duplicate documents clustering (Яна Чубис, 2012)
Mining of Web forums for innovative projects discussion (Константин Блинкин, 2012)
Models and algorithms for music and radiostation recommendations: FMHost case study (Таймураз Абаев, 2013)
Ranking and classification algorithms of triadic data (Роман Жук, 2013)
Mathematical models and algorithms for crowdsourcing platforms: Witology case study (Александра Каминская, 2013)

Bachelor theses

Comparative study of triclustering methods and their applications (Дмитрий Гнатышак, 2012)
Web search ranking based on users’ behaviour (Дмитрий Животворев, 2012)
Recommender systems based on triclustering for folksonomies (Алексей Венжега, 2012)
Quality evaluation of recommender algorithms based on matrix factorization (Гульназ Багаутдинова, 2012)
Development of models and algorithms for perfume online-recommender system (Степан Соколов, 2012)
Machine Learning for credit scoring: real banking data case study (Игорь Бакушин, 2012)
Machine Learning for Online-Survey Data Analysis (Гарибова Мария, 2013)
Online Surveys Results as Context Information for a Multitask Recommender Service (Анна Уханаева, 2013)
Demographic Data Mining (Ариадна Данцкер, 2013)

Publication List

My page on DBLP

Books

	Dmitry Ignatov, Sergei Kuznetsov, Jonas Poelmans (Eds.) CDUD'11 – Concept Discovery in Unstructured Data. Workshop co-located with the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011) June 2011, Moscow, Russia. The proceedings are published online in the CEUR-Workshop series (ISSN 1613-0073) and Vol-757 has a unique URN (urn:nbn:de:0074-757-4).
	Alexey N. Averkin, Dmitry I. Ignatov, Sushmita Mitra, Jonas Poelmans, Valery B. Tarasov (Eds.) SKAD'11 – Soft Computing Applications and Knowledge Discovery Workshop co-located with the 13th International Conference on Rough Sets,Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011) and the 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI-2011) June 2011, Moscow, Russia. The proceedings are published online in the CEUR-Workshop series (ISSN 1613-0073) and Vol-758 has a unique URN: (urn:nbn:de:0074-758-4).
	Дмитрий Игнатов, Ростислав Яворский (редакторы). Доклады по компьютерным наукам и информационным технологиям. № 1, 2012 г. Доклады всероссийской научно-практической конференции "Анализ Изображений, Сетей и Текстов" (АИСТ 2012). Екатеринбург, 16 - 18 марта 2012 года. М.: Национальный Открытый Университет "ИНТУИТ" 2012. - 419 с. ISBN 978-5-9556-0132-8
	Formal Concept Analysis 10th International Conference, ICFCA 2012, Leuven, Belgium, May 7-10, 2012. Proceedings Publisher: Springer Series: Lecture Notes in Computer Science, Vol. 7278 Subseries: Lecture Notes in Artificial Intelligence Domenach, Florent; Ignatov, Dmitry I.; Poelmans, Jonas (Eds.) 2012, XII, 309 p. 75 illus. ISBN 978-3-642-29891-2
	Dmitry I. Ignatov, Sergei Kuznetsov, Jonas Poelmans (Eds.) Proceedings of 2nd International Workshop on Concept Discovery in Unstructured Data 2012. Published by KU-Leuven, ISBN 978-9-08-140991-9 Published online at CEUR-WS (ISSN 1613-0073) in volume 871 (urn:nbn:de:0074-871-4).
	Rustam Tagiew, Dmitry I. Ignatov, A. A. Neznanov, Jonas Poelmans (Eds.) Proceedings of International Workshop on Experimental Economics in Machine Learning 2012. Published by KU-Leuven, ISBN 978-9-08-140992-6 Published online at CEUR-WS (ISSN 1613-0073) in volume 870 (urn:nbn:de:0074-870-0).
	Florent Domenach, Dmitry I. Ignatov, Jonas Poelmans (Eds.) Contributions to International Conference on Formal Concept Analysis 2012. Published by KU-Leuven, ISBN 978-9-08-140995-7 Published online at CEUR-WS (ISSN 1613-0073) in volume 876 (urn:nbn:de:0074-876-1).
	Naidenova Xenia and Dmitry I. Ignatov. "Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems." IGI Global, 2013. 1-367. Web. 20 Oct. 2012. doi:10.4018/978-1-4666-1900-5
	Conceptual Structures for Stem Research and Education 20th International Conference on Conceptual Structures, ICCS 2013, Mumbay, India, January 10-12, 2013, Proceedings Series: Lecture Notes in Computer Science, Vol. 7735 Subseries: Lecture Notes in Artificial Intelligence Pfeiffer, H.D.; Ignatov, D.; Poelmans, J.; Nagarjuna, G. (Eds.) 2013, XI, 333 p. 109 illus.

Grant papers

Кузнецов С.О., Игнатов Д.И., Объедков С.А., Самохин М.В. Порождение кластеров документов дубликатов: подход, основанный на поиске частых замкнутых множеств признаков. Интернет-математика 2005. Автоматическая обработка веб-данных. Москва: “Яndex”, 2005, стр. 302 – 319

Journals

Д.И. Игнатов, С.О.Кузнецов, В.Б. Лопатникова, И.А. Селицкий. Разработка и апробация системы поиска дубликатов в текстах проектной документации. Бизнес-информатика//междисциплинарный научно-практический журнал, № 4, 2008, стр. 21 - 28

D. Ignatov, K. Jánosi-Rancz, Towards a framework for near-duplicate detection in document collections based on closed sets of attributes// Acta Universitatis Sapientiae, Informatica, 1, 2 (2009) 215−233

Дмитрий Игнатов Раскопки сетевых данных //Открытые системы. СУБД, №9, 2009, стр. 34-37

Дмитрий Игнатов Практикум по добыче данных //Открытые системы. СУБД, №6, 2010, стр. 49-51

Дмитрий Игнатов, Александра Каминская, Андрей Константинов Анализ данных в краудсорсинговых проектах //Открытые системы. СУБД, №1, 2013, стр. 36-39

Jonas Poelmans, Paul Elzinga, Dmitry I. Ignatov, Sergei O. Kuznetsov. Semi-automated knowledge discovery: identifying and profiling human trafficking//International Journal of General Systems Vol. 41, Iss. 8, 2012

Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Leonid E. Zhukov Can triconcepts become triclusters// International Journal of General Systems Vol. 42, Iss. 6, pages 572-593, 2013

Poelmans J., Ignatov D. I., Kuznetsov S. O., Dedene G. Formal Concept Analysis in knowledge processing: A survey on models and techniques // Expert Systems with Applications. 2013. Vol. 40. No. 16. P. 6601-6623.

Poelmans J., Kuznetsov S. O., Ignatov D. I., Dedene G. Formal concept analysis in knowledge processing: A survey on applications // Expert Systems with Applications. 2013. Vol. 40. No. 16. P. 6538-6560.

Papers in Conference Proceedings

Игнатов Д.И., Кузнецов С.О. О поиске сходства Интернет-документов с помощью частых замкнутых множеств признаков // Труды 10-й национальной конференции по искусственному интеллекту с международным участием (КИИ’06). – М.:Физматлит, 2006, Т.2, стр.249-258

Sergei O. Kuznetsov, Dmitrii I. Ignatov, Concept Stability for Constructing Taxonomies of Web-site Users// Proc. Satellite Workshop "Social Network Analysis and Conceptual Structures: Exploring Opportunities" at the 5th International Conference Formal Concept Analysis (ICFCA'07), Clermont-Ferrand, France, P. 19-24

Игнатов Д.И., Выбор вариантов с помощью методов Анализа Формальных Понятий// 1-я Международная конференция по бизнес-информатике. Труды международной научно-практической конференции, ГУ-ВШЭ, Звенигород, 2007, с. 234-239

Игнатов Д.И., Кузнецов С.О. Методы разработки данных (Data Mining) для рекомендательной системы Интернет-рекламы // Одиннадцатая национальная конференция по искусственному интеллекту с международным участием (КИИ-2008, 28 сентября – 3 октября 2008 г., г. Дубна, Россия): Труды конференции. Т.2. – М.: Ленанд, 2008. – 392 с.

D.I.Ignatov, S.O. Kuznetsov. Concept-based Recommendations for Internet Advertisement// In proceedings of The Sixth International Conference Concept Lattices and Their Applications (CLA'08), Radim Belohlavek, Sergei O. Kuznetsov (Eds.): CLA 2008, pp. 157–166 ISBN 978–80–244–2111–7, Palacky University, Olomouc, 2008.

Игнатов Д.И., Кононыхина О.Н. Решетки формальных понятий для анализа данных социологических опросов// Интегрированные модели и мягкие вычисления в искусственном интеллекте. Сборник научных трудов V-й Международной научно-технической конференции (Коломна, 20-30 мая 2009 г.). В 2-х томах. Т1. – М.: Физматлит, 2009. – 546 с. (ISBN 978-5-9221-1111-9)

D.I. Ignatov, S.O. Kuznetsov. Frequent Itemset Mining for Clustering Near Duplicate Web Documents// In proceedings of The 17th International Conference on Conceptual Structures, S. Rudolph, F. Dau, and S.O.Kuznetsov (Eds.): ICCS 2009, LNCS (LNAI) 5662, pp. 185–200, Springer-Verlag Berlin Heidelberg, 2009

Игнатов Д.И., Кузнецов С.О. Бикластеризация объектно-признаковых данных на основе решеток замкнутых множеств// Труды 12-й национальной конференции по искусственному интеллекту, М., Физматлит, Т. 1., С.175-182, 2010.

Игнатов Д.И., Каминская А.Ю., Магизов Р.А. Метод скользящего контроля для оценки качества рекомендательных Интернет-сервисов// Труды 12-й национальной конференции по искусственному интеллекту, М., Физматлит, Т. 1., С.183-191, 2010.

Игнатов Д.И., Каминская А.Ю, Кузнецов С.О., Магизов Р. А. Метод бикластеризации на основе объектных и признаковых замыканий// Интеллектуализация обработки информации: 8-я международная конференция. Республика Кипр, г. Пафос, 17-24 октября 2010 г.: Сборник докладов. – М.: МАКС Пресс, 2010. – С. 140 – 143.

Пулманс Дж., Игнатов Д.И., Ван Хуле М.М., Виене С., Дедене Г., Элзинга П. Анализ текстов полицейских отчетов с помощью эмерджентых самоорганизующихся карт и многомерного шкалирования// Интегрированные модели и мягкие вычисления в искусственном интеллекте. Сборник научных трудов VI-й Международной научно-технической конференции (Коломна, 16-19 мая 2011 г.). В 2-х томах. Т2. - М.: Физматлит, 2011. - 482 с. (ISBN 978-5-9221-1111-9) стр. 915-925

Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Stijn Viaene, Sergei Kuznetsov, Dmitry 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

Dmitry Ignatov, Jonas Poelmans, Vasily Zaharchuk. Recommender System Based on Algorithm of Bicluster Analysis RecBi. In CEUR Workshop proceedings Vol-757, CDUD'11 – Concept Discovery in Unstructured Data, pp. 122-126, 2011

Dmitry I. Ignatov, Sergei O. Kuznetsov, Ruslan A. Magizov and Leonid E. Zhukov. From Triconcepts to Triclusters// In proceedings of 13th International Conference on ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, Kuznetsov et al. (Eds.): RSFDGrC 2011, LNCS/LNAI Volume 6743/2011, Springer-Verlag Berlin Heidelberg, 257-264, 2011

Dmitry Ignatov and Serafima Mamedova and Nikita Romashkin and Ivan Shamshurin. What can closed sets of students and their marks say?// In proceedings of 4th International Conference on Educational Data Mining, Mykola Pechenizkiy et al. (Eds.), EDM-2011, TU/e Eindhoven, 223-228, 2011 (ISBN: 978-90-386-2537-9)

Nikita Romashkin, Dmitry Ignatov and Elena Kolotova. How university entrants are choosing their department? Mining of university admission process with FCA taxonomies// In proceedings of 4th International Conference on Educational Data Mining, Mykola Pechenizkiy et al. (Eds.), EDM-2011, TU/e Eindhoven, 229-234, 2011 (ISBN: 978-90-386-2537-9)

Игнатов Д.И., Хавенсон Т.Е. Изучение ресурсной обеспеченности российских школ с помощью методов, основанных на решетках понятий// Социологические методы в современной исследовательской практике: Сборник статей, посвященный памяти первого декана факультета социологии НИУ ВШЭ А.О. Крыштановского / Отв. ред. и вступит. ст. О.А. Оберемко; НИУ ВШЭ, ИС РАН, РОС. М.: НИУ ВШЭ, 2011.

Игнатов Д.И., Магизов Р.А. Анализ тримодальных данных на примере Интернет-сервисов социальных закладок// Социологические методы в современной исследовательской практике: Сборник статей, посвященный памяти первого декана факультета социологии НИУ ВШЭ А.О. Крыштановского / Отв. ред. и вступит. ст. О.А. Оберемко; НИУ ВШЭ, ИС РАН, РОС. М.: НИУ ВШЭ, 2011. — C. 315 — 321.

Игнатов Д. И., Кузнецов С. O., Пульманс Й. Разработка данных систем совместного пользования ресурсами: от трипонятий к трикластерам //Математические методы распознавания образов: 15-я Всероссийская конференция. г. Петрозаводск, 11–17 сентября 2011 г.: Сборник докладов. — М.: МАКС Пресс, 2011. — C. 258 — 261 (ISBN 978-5-317-03787-1)

Д.И. Игнатов, Й. Пульманс. Анализ формальных понятий и его приложения. Сборник трудов конференции "Инженерия знаний в технологиях семантического Веба - 2011". — СпБ.: НИУ ИТМО, 2011. — 205 с. (с. 9-19)

Ignatov, D., Poelmans, J., Dedene, G., Viaene, S. A New Cross-Validation Technique to Evaluate Quality of Recommender Systems, in Malay Kundu; Sushmita Mitra; Debasis Mazumdar & Sankar Pal, ed., 'Perception and Machine Intelligence', Springer Berlin / Heidelberg, pp. 195-202, 2012.

Дмитрий Игнатов. Анализ формальных понятий: от теории к практике // Доклады по компьютерным наукам и информационным технологиям. № 1, 2012 г. Доклады всероссийской научно-практической конференции "Анализ Изображений, Сетей и Текстов" (АИСТ 2012). Екатеринбург, 16 — 18 марта 2012 года. М.: Национальный Открытый Университет "ИНТУИТ" 2012. — 419 с. (с. 3-15)

Дмитрий Игнатов, Александра Каминская, Анастасия Беззубцева, Константин Блинкин. Система анализа данных коллаборативных платформ CrowDM // Доклады по компьютерным наукам и информационным технологиям. № 1, 2012 г. Доклады всероссийской научно-практической конференции "Анализ Изображений, Сетей и Текстов" (АИСТ 2012). Екатеринбург, 16 - 18 марта 2012 года. М.: Национальный Открытый Университет "ИНТУИТ" 2012. — 419 с. (с. 16-26)

Секинаева Зарина, Дмитрий Игнатов. Метод спектральной трикластеризации для систем совместного пользования ресурсами // Доклады по компьютерным наукам и информационным технологиям. № 1, 2012 г. Доклады всероссийской научно-практической конференции "Анализ Изображений, Сетей и Текстов" (АИСТ 2012). Екатеринбург, 16 - 18 марта 2012 года. М.: Национальный Открытый Университет "ИНТУИТ" 2012. — 419 с. (с. 246-254)

Dmitry Gnatyshak, Dmitry Ignatov, Alexander Semenov, Jonas Poelmans. Analysing Online Social Network Data with Biclustering and Triclustering. In.: Dmitry I. Ignatov, Sergei Kuznetsov, Jonas Poelmans (Eds.) Proceedings of 2nd International Workshop on Concept Discovery in Unstructured Data 2012. Published by KU-Leuven, ISBN 978-9-08-140991-9, pp. 30-39

Anastasya A. Bezzubtseva, Ekaterina L. Chernyak, Konstantin N. Blinkin, Daniil R. Nedumov, Olga N. Chugunova, Andrey V. Konstantinov, Nikita S. Romashkin, Fedor V. Strok, Daria A. Goncharova, Rostislav E.Yavorsky, Dmitry I. Ignatov, Alexandra Yu. Kaminskaya. CrowDM: the System for Collaborative Platform Data Analysis. In.: Rustam Tagiew, Dmitry I. Ignatov, A. A. Neznanov, Jonas Poelmans (Eds.) Proceedings of International Workshop on Experimental Economics in Machine Learning 2012. Published by KU-Leuven, ISBN 978-9-08-140992-6, pp. 61-71

Vasily Zaharchuk, Dmitry Ignatov, Andrey Konstantinov, Sergey Nikolenko. A New Recommender System for the Interactive Radio Network FMhost. In.: Rustam Tagiew, Dmitry I. Ignatov, A. A. Neznanov, Jonas Poelmans (Eds.) Proceedings of International Workshop on Experimental Economics in Machine Learning 2012. Published by KU-Leuven, ISBN 978-9-08-140992-6, pp. 72-85

Anastasia Bezzubtseva, Dmitry Ignatov. A Typology of Collaboration Platform Users. In.: Rustam Tagiew, Dmitry I. Ignatov, A. A. Neznanov, Jonas Poelmans (Eds.) Proceedings of International Workshop on Experimental Economics in Machine Learning 2012. Published by KU-Leuven, ISBN 978-9-08-140992-6, pp. 9-19

Венжега А.В., Гнатышак Д.В., Игнатов Д.И., Константинов А. В. Рекомендательная система парфюмерной продукции и ее теговна основе трикластеризации//Интеллектуализация обработки информации: 9-я международная конференция. Черногория, г.Будва, 2012 г.: Сборник докладов. — М.: Торус Пресс, 2012. 718 с., стр. 601-605 (ISBN 978-5-94588-119-8)

Гнатышак Д.В., Игнатов Д.И., Жуков Л. Е., Кузнецов С.О., Миркин Б. Г. Экспериментальное сравнение некоторых алгоритмовтрикластеризации//Интеллектуализация обработки информации: 9-я международная конференция. Черногория, г.Будва, 2012 г.: Сборник докладов. — М.: Торус Пресс, 2012. 718 с., стр. 609-613 (ISBN 978-5-94588-119-8)

Захарчук В.В., Игнатов Д.И., Константинов А.В., Николенко С.И. Модель рекомендательной системы для интерактивногорадиосервиса FMhost//Интеллектуализация обработки информации: 9-я международная конференция. Черногория, г.Будва, 2012 г.: Сборник докладов. — М.: Торус Пресс, 2012. 718 с., стр. 617-621 (ISBN 978-5-94588-119-8)

Dmitry I. Ignatov, Andrey V. Konstantinov, Sergey I. Nikolenko, Jonas Poelmans and Vasily V. Zaharchuk. Online Recommender System for Radio Station Hosting. In.: Aseeva Natalia, Eduard Babkin, Oleg Kozyrev (Eds.) PERSPECTIVES IN BUSINESS INFORMATICS RESEARCH, Lecture Notes in Business Information Processing, 2012, Volume 128, Part 1, 1-12

Dmitry Gnatyshak, Dmitry I. Ignatov, Alexander Semenov and Jonas Poelmans. Gaining Insight in Social Networks with Biclustering and Triclustering. In.: Aseeva Natalia, Eduard Babkin, Oleg Kozyrev (Eds.) PERSPECTIVES IN BUSINESS INFORMATICS RESEARCH, Lecture Notes in Business Information Processing, 2012, Volume 128, Part 4, 162-171

Anastasya A. Bezzubtseva, Ekaterina L. Chernyak, Konstantin N. Blinkin, Daniil R. Nedumov, Olga N. Chugunova, Andrey V. Konstantinov, Nikita S. Romashkin, Fedor V. Strok, Daria A. Goncharova, Rostislav E.Yavorsky, Dmitry I. Ignatov, Alexandra Yu. Kaminskaya. Mining Complex Data Generated by Collaborative Platforms // Перспективные направления исследований в области бизнес-информатики: Материала XI международной конференции / Под научной редакцией Э.А. Бабкина — г. Нижний Новгород. — 2012. — 146 с. (ISBN 978-5-502-00030-7)

Jonas Poelmans , Dmitry I. Ignatov , Stijn Viaene , Guido Dedene and Sergei O. Kuznetsov. Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research. In.: Petra Perner (Ed.) ADVANCES IN DATA MINING. APPLICATIONS AND THEORETICAL ASPECTS, Lecture Notes in Computer Science, 2012, Volume 7377/2012, 273-287

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 (16-20 октября 2012 г., г.Белгород, Россия): Труды конференции. Т.2. — Белгород: Изд-во БГТУ, 2012. — 339 с. — ISBN 978-5-361-00182-8, стр. 66-73.

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 (16-20 октября 2012 г., г.Белгород, Россия): Труды конференции. Т.2. — Белгород: Изд-во БГТУ, 2012. — 339 с. — ISBN 978-5-361-00182-8, стр. 74-81.

Незнов А.А., Игнатов Д.И., Пульманс Й. Новые программные средства разработки данных, поддерживающие методологию Cordiet // Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012 (16-20 октября 2012 г., г.Белгород, Россия): Труды конференции. Т.4. — Белгород: Изд-во БГТУ, 2012. — 339 с. — ISBN 978-5-361-00182-8, стр. 16-23.

Ignatov, Dmitry I. and Jonas Poelmans. "Bimodal Cross-Validation Approach for Recommender Systems Diagnostics." In Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems, ed. Xenia Naidenova and Dmitry I. Ignatov, 185-195 (2013), accessed November 10, 2012. doi:10.4018/978-1-4666-1900-5.ch008

Nenova Elena, Ignatov D. I., Konstantinov A. V. An FCA-based Boolean Matrix Factorisation for Collaborative Filtering , in: Formal Concept Analysis Meets Information Retrieval 2013. Eds.: C. Carpineto, A. Napoli, S. O. Kuznetsov. .Vol. 977. Aachen: CEUR Workshop Proceeding, 2013. P. 57-73.

2. Joho H., Ignatov D. I. Doctoral Consortium at ECIR 2013 , in: Proc. 35th European Conference on Information Retrieval (ECIR 2013): Advances in Information Retrieval. Eds.: P. Serdyukov, P. Braslavski, S. O. Kuznetsov, J. Kamps, S. Rüger, E. Agichtein, I. Segalovich, E. Yilmaz. Vol. 7814. Springer, 2013. P. 890-890.

3. Ignatov D. I., Kaminskaya A. Y., Konstantinov A. V., Bezzubtseva A. A., Poelmans J. FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms , in: Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures. Eds.: H. Pfeiffer, D. I. Ignatov, J. Poelmans, G. Nagarjuna. Vol. 7735, Springer, 2013. P. 173-192.

4. Dmitry V. Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms , in: CLA 2013 Proceedings of the Tenth International Conference on Concept Lattices and Their Applications. La Rochelle: Laboratory L3i, University of La Rochelle, 2013. P. 249-260.

5. Ignatov D. I., Chubis Y., Konstantinov A. V. Near-Duplicate Detection for Online-Shops Owners: An FCA-Based Approach // Lecture Notes in Computer Science. 2013. Vol. 7814. P. 722-725.

Short papers

Игнатов Д.И. Построение кластеров дубликатов web-страниц с помощью алгоритмов Data Mining //Научно-техническая конференция студентов, аспирантов и молодых специалистов «Информационные технологии в бизнесе», Москва, ГУ-ВШЭ, 2006 (Доклад отмечен дипломом)

Игнатов Д.И., Применение методов бикластеризации для анализа Интернет-данных//Научно-техническая конференция студентов, аспирантов и молодых специалистов «Информационные технологии в экономике, бизнесе, управлении», Москва, ГУ-ВШЭ, 2008//ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ В ЭКОНОМИКЕ, БИЗНЕСЕ, УПРАВЛЕНИИ. Сборник тезисов. – Медведево: Издательство "Сельские вести", 2009. – 130 с., C. 18–19

Игнатов Д.И., Прототип рекомендательной системы Интернет-рекламы на основе методов разработки данных (Data Mining)//Научно-техническая конференция студентов, аспирантов и молодых специалистов «Информационные технологии в экономике, бизнесе, управлении», Москва, ГУ-ВШЭ, 2009//ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ В ЭКОНОМИКЕ, БИЗНЕСЕ, УПРАВЛЕНИИ. Сборник тезисов. – Медведево: Издательство "Сельские вести", 2009. – 130 с., C. 124–125

Dmitry Ignatov, Concept-based Biclustering for Internet Advertisement //Summer School Reasoning Web 2010: Semantic Technologies for Software Engineering at the Technical University of Dresden (TUD), Germany

Papers and short papers accepted for publication

Игнатов Д.И. Анализ данных о посещаемости веб-сайтов и построение таксономий их аудиторий//Научно-техническая конференция студентов, аспирантов и молодых специалистов «Информационные технологии в экономике, бизнесе, управлении», Москва, ГУ-ВШЭ, 2007

Игнатов Д.И., Выбор вариантов с помощью методов Анализа Формальных Понятий// Вторая международная молодежная конференция «Искусственный интеллект: философия, методология и инновации», Санкт-Петербург, СПбГУ, 2007 (диплом лучший доклад)

Online papers

Дмитрий Игнатов, Методы бикластеризации для анализа Интернет-данных// http://citforum.ru/consulting/BI/biclustering/

Talks

Дмитрий Игнатов, О порождении кластеров документов-дубликатов в поисковых Интернет-системах с помощью частых замкнутых множеств признаков//Научно-техническая конференция "25 лет исследований по ДСМ-методу: логика, анализ данных, интеллектуальные системы (ДСМ-2006)", Москва, РГГУ и ВИНИТИ РАН, 2006

С. О. Кузнецов, Д.И. Игнатов. Методы анализа формальных понятий для построения ассоциативных правил имультимодальной кластеризации// ЗОНТ-2011, Новосибирск, 3 октября, 2011

Alexander Semenov, Dmitry Gnatyshak, Dmitry Ignatov, Jonas Poelmans. Analysing Online Social Network Data with Biclustering and Triclustering//Sunbelt Social Networks Conference - the official conference of the International Network for Social Network Analysis (INSNA), Sunbelt XXXII (March 12, 2012 to March 18, 2012), Crowne Plaza, Redondo Beach, CA, USA

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Nov

2022

Dmitry I. Ignatov presented his report at NTR company webinar

On November 15, 2022 Dmitry Ignatov - laboratory Head at Laboratory for Models and Methods of Computational Pragmatics, associate Professor at School of Data Analysis and Artificial Intelligence took part in NTR company webinar.

In the talk, the speaker explained how Data Mining and Formal Concept Analysis can help to solve combinatorial problems from Lattice Theory and establish connections between seemingly unrelated algebraic objects.

Mar

2022

Dmitry Ignatov had a talk on FCS's Colloquium meeting

MMCP Lab Head presented the report at FCS colloquium.

Aug

2021

"Mobility Makes a Person Look at Life Very Differently"

Kamila Usmanova, a second-year master's student in Data Science, is studying in Germany on an academic mobility programme. We talked to her about the challenges of mobility, new experiences, and the interaction of cultures.

Apr

2021

HSE Is One of the Top Universities That Offers Programmes in English

HSE Faculty of Computer Science offers eight Master’s programmes, including four programmes taught entirely in English. Samia Nasrin, from Data Science Master’s programme, and Usama Albaghdady, from Master’s in System and Software Engineering, talk about choosing HSE University, admissions process, their studies and future plans.

Feb

2020

‘Whatever I’m Researching, I Want to Be Able to Put It into Practice’

Md Tahsir Ahmed Munna is a second-year master’s student in Data Science at HSE. He is also one of the international students nominated for HSE’s Silver Nestling Award in 2019. Munna’s master’s thesis focuses on knowledge graph-based recommender systems, and he works as a research assistant at HSE’s Laboratory for Models and Methods of Computational Pragmatics. HSE News Service spoke with Munna about studying Data Science at HSE, working on his thesis, and living in Moscow.

May

2019

‘The Main Thing in Amateur Running Is Love’

HSE University has joined adidas Runners Moscow club. University students and staff offer some advice to beginner runners.

May

2017

HSE to Hold its First Fun Run

Run √25, the first fun run organized by HSE, will take place on May 28 at Gorky Park. Our University is now 25 years old, and we’ll run 5 km together to celebrate this anniversary (or rather, our ‘anti-versary’) - along Pushkinskaya Naberezhnaya and Andreevskaya Naberezhnaya, from the Green Theatre to Luzhnetsky Bridge, and back again. Think of it as running from the darkness of ignorance, unbelievable stupidity, and bad grades as fast as we can!

Aug

2016

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.

Mar

2016

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.

Feb

2015

'My Nickname at School Was 'Professor'. I Had to Live up to It'

Why do people become researchers and pursue careers in science? What is more important for them – self-fulfillment or financial incentives? On the day before Russia celebrated Science Day on Feb 8, HSE’s news service talked to researchers working at HSE about what motivated them to become scientists.

Jun

2011

Intellectual Integration: Multiply by Two

From June 25^th – 29^th 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.