Boris Mirkin
- Leading Research Fellow:International Centre of Decision Choice and Analysis
- Professor:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Senior Research Fellow:Faculty of Computer Science / International Laboratory for Intelligent Systems and Structural Analysis
- Tenured Professor (2010)
- Boris Mirkin has been at HSE University since 2008.
Education, Degrees and Academic Titles
- 1990
Doctor of Sciences* in System Analysis, Management and Information Processing
Institute for Systems Studies of the Academy of Sciences and State Committee of Science and Technology of the USSR
Thesis Title: Matrix-approximation approach to the analysis of mixed data - 1975Senior Research Fellow
- 1975Associate Professor
- 1966
Candidate of Sciences* (PhD) in Mathematical Logic, Algebra and Number Theory
Thesis Title: Equations in the algebra of events applied to abstract automata - 1964
Degree
Saratov Chernyshevsky State University
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.
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.
Continuing education / Professional retraining / Internships / Study abroad experience
Working in the Department of Computer Science and Information Systems Birkbeck University of London (March-December 2015)
Courses (2023/2024)
- Basics of Data Analysis (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Eng
- Core Concepts in Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Core Concepts in Data Analysis (Mago-Lego; 1, 2 module)Rus
- Data Analysis (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Data Analysis (Mago-Lego; 1, 2 module)Eng
- Mentor's Seminar (Master’s programme; Faculty of Computer Science; 2 year, 1-3 module)Eng
- Past Courses
Courses (2022/2023)
- Core Concepts in Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
Modern Methods of Data Analysis (Master’s programme; Faculty of Computer Science; field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 1 year, 1, 2 module)Eng
Courses (2021/2022)
- Core Concepts in Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Modern Methods of Data Analysis (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Eng
Courses (2020/2021)
- Core Concepts in Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Modern Methods of Data Analysis (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Eng
Courses (2019/2020)
- Core Concepts in Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Modern Methods of Data Analysis (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Eng
Courses (2018/2019)
- Core Concepts in Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Introductory Research Seminar (Bachelor’s programme; Faculty of Computer Science; 2 year, 3 module)Eng
- Modern Methods of Data Analysis (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Eng
Editorial board membership
2019: Deputy Editor-in-chief, SN Computer Science.
2012: Member of the Editorial Council, Egyptian Computer Science Journal.
2008: Member of the Editorial Board, Бизнес-информатика (Business Informatics).
2009–2020: Member of the Editorial Board, Journal of Classification.
2010–2013: Deputy Editor-in-chief, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.
Conferences
- 2021
2021 IEEE International Conference on Artificial Intelligence and Big Data Analytics (Bandung). Presentation: Method for Taxonomic Content-Analysis of Text Collections
- 2015
Systems Analysis 2015 (Vienna). Presentation: Data Summarization at Clustering and Ranking
- 20142nd International Conference on Information Technology and Quantitative Management, ITQM 2014 (Москва). Presentation: A Concept of Multicriteria Stratification: A Definition and Solution.
- 201314th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2013 (Halifax, NS). Presentation: Individual Approximate Clusters: Methods, Properties, Applications.
18th International Conference on Methods & Models in Automation & Robotics, MMAR 2013 (Międzyzdroje). Presentation: Fault tolerant tube-based adaptive tracking for a class of nonlinear plants.
- 20127th IFAC Symposium on Robust Control Design, ROCOND 2012 (Aalborg). Presentation: Tube Reference Model Based Direct Adaptive Control.
Publications103
- Article Nascimento S., Martins A., Relvas P., Luís J., Mirkin B. Core–shell clustering approach for detection and analysis of coastal upwelling // Computers & Geosciences. 2023. Vol. 179. Article 105421. doi
- Article Nascimento S., Martins A., Relvas P., Luis J., Boris Mirkin. Piece‐wise constant cluster modelling of dynamics of upwelling patterns // Expert Systems: The Journal of Knowledge Engineering. 2023. P. 1-16. doi
- Article Mirkin B., Shalileh S. Community Detection in Feature-Rich Networks Using Data Recovery Approach // Journal of Classification. 2022. Vol. 39. P. 432-462. doi
- Article Shalileh S., Mirkin B. Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method // Entropy. 2022. Vol. 24. No. 5. Article 626. doi
- Chapter Zhirayr Hayrapetyan, Nascimento S., Trevor F., Dmitry Frolov, Boris Mirkin. Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion, in: Information Systems and Technologies: WorldCIST 2022, Volume 2 Issue 469. Springer, 2022. doi P. 141-147. doi
- Book Nascimento S., Martins A., Relvas P., Luís, J., Mirkin B. Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings / Рук.: S. Nascimento. Vol. 13566. Lisbon : Springer Publishing Company, 2022. doi
- Chapter Shalileh S., Mirkin B. A Method for Community Detection in Networks with Mixed Scale Features at Its Nodes, in: Complex Networks & Their Applications IX. Volume 1: Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. Springer, 2021. P. 3-14. doi
- Chapter Mirkin B. A Method for Community Detection in Networks with Mixed Scale Features at its Nodes, in: Complex Networks & Their Applications IX. Volume 1: Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. Springer, 2021. P. 3-14. doi (in press)
- Chapter Shalileh S., Mirkin B. An Extension of K-Means for Least-Squares Community Detection in Feature-Rich Networks, in: COMPLEX NETWORKS 2021: Complex Networks & Their Applications X.. Springer, 2021. P. 285-296. doi (in press)
- Chapter Shalileh S., Mirkin B. Community detection in feature-rich networks to meet K-means, in: ASONAM '21: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery (ACM), 2021. P. 138-142. doi (in press)
- Chapter Shalileh S., Mirkin B. Detecting Communities in Feature-Rich Networks with a K-Means Method, in: Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer, 2021. P. 539-547. doi (in press)
- Article Shalileh S., Mirkin B. Least-squares community extraction in feature-rich networks using similarity data // Plos One. 2021. Vol. 16. No. 7. Article 0254377. doi
- Article Shalileh S., Mirkin B. Summable and nonsummable data‐driven models for community detection in feature‐rich networks // Social Network Analysis and Mining. 2021. Vol. 11. No. 1. P. 1-23. doi
- Chapter Mirkin B. A Data Recovery Method for Community Detection in Feature-Rich Networks, in: 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Association for Computing Machinery (ACM), 2020. doi Ch. 05. P. 99-105. (in press)
- Chapter Shalileh S., Mirkin B. A Data Recovery Method for Community Detection in Feature-Rich Networks, in: 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Association for Computing Machinery (ACM), 2020. doi P. 99-104. doi
- Chapter Mirkin B., Frolov D., Vlasov A., Nascimento S., Fenner T. A Hybrid Approach to Interpretable Analysis of Research Paper Collections, in: WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics. Association for Computing Machinery (ACM), 2020. doi P. 184-189. doi
- Chapter Mirkin B., Frolov D., Vlasov A., Nascimento S., Fenner T. A Hybrid Approach to the Analysis of a Collection of Research Papers, in: Intelligent Data Engineering and Automated Learning – IDEAL 2020/ 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II Vol. 12490: Lecture Notes in Computer Science. Cham : Springer, 2020. P. 423-433. doi
- Chapter Frolov D., Taran Z., Mirkin B. A Method for Audience Extending in Programmatic Advertising by Using Parsimonious Generalization of User Segments, in: International Conference on Human Interaction and Emerging Technologies. Springer, 2020. doi P. 837-841. doi
- Chapter Shalileh S., Mirkin B. A One-by-One Method for Community Detection in Attributed Networks, in: Intelligent Data Engineering and Automated Learning – IDEAL 2020/ 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II Vol. 12490: Lecture Notes in Computer Science. Cham : Springer, 2020. P. 413-422. doi
- Article de Amorim R. C., Makarenkov V., Mirkin B. Core clustering as a tool for tackling noise in cluster labels // Journal of Classification. 2020. Vol. 37. No. 1. P. 143-157. doi
- Chapter Shalileh S., Mirkin B. Detection of an unspecified number of communities in feature-rich networks, in: Proceedings of MARAMI 2020 - Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques - The 11th Conference on Network Modeling and Analysis(Vol-2750) Vol. Vol-2750: Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques - Network Modeling and Analysis 2020. CEUR-WS.org, 2020. P. 1-12.
- Article Taran Z., Mirkin B. Exploring patterns of corporate social responsibility using a complementary K-means clustering criterion // Business Research. 2020. Vol. 13. No. 2. P. 513-540. doi
- Chapter Frolov D., Mirkin B., Nascimento S., Fenner T. Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree, in: Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Switzerland : Springer Publishing Company, 2020. doi P. 779-789. doi
- Article Frolov D., Nascimento S., Fenner T., Mirkin B. Parsimonious Generalization of Fuzzy Thematic Sets in Taxonomies Applied to the Analysis of Tendencies of Research in Data Science // Information Sciences. 2020. Vol. 512. P. 595-615. doi
- Chapter Frolov D., Mirkin B., Nascimento S., Fenner T., Taran Z. Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences, in: Intelligent Data Engineering and Automated Learning – IDEAL 2019 Vol. 2. Cham Switzerland: Springer, 2019. doi P. 3-11. doi
- Article Mirkin B., Fenner T. Distance and Consensus for Preference Relations Corresponding to Ordered Partitions // Journal of Classification. 2019. Vol. 36. No. 2. P. 350-367. doi
- Chapter Frolov D., Mirkin B., Nascimento S., Fenner T. Method for Generalization of Fuzzy Sets, in: International Conference on Artificial Intelligence and Soft Computing. 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings Part 1. Issue 11508. Cham : Springer, 2019. doi P. 273-286. doi
- Chapter Myachin A. L., Mirkin B. Ordinal Equivalence Classes for Parallel Coordinates, in: Intelligent Data Enginneering and Automated Learning - IDEAL2019 Vol. 2. Springer, 2019. doi P. 525-533. doi
- Chapter Frolov D., Mirkin B., Nascimento S., Fenner T. Using Domain Taxonomy to Model Generalization of Thematic Fuzzy Clusters, in: CONTENT 2019, The Eleventh International Conference on Creative Content Technologies. International Academy, Research, and Industry Association (IARIA), 2019. P. 20-25.
- Chapter Frolov D., Mirkin B., Nascimento S., Fenner T. Using Taxonomy Tree to Generalize a Fuzzy Thematic Cluster, in: Fuzzy Systems (FUZZ-IEEE), IEEE International Conference Proceedings. IEEE, 2019. P. 1-6. doi
- Preprint Mirkin B., Frolov D., Fenner T., Nascimento S. Finding an appropriate generalization for a fuzzy thematic set in taxonomy / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2018. No. 4.
- Article Murtagh F., Orlov M. A., Mirkin B. Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research // Journal of Classification. 2018. Vol. 35. No. 1. P. 5-28. doi
- Chapter Nascimento S., Mirkin B. Applying Anomalous Cluster Approach to Spatial Clustering, in: Uncertainty Modeling. Dedicated to Professor Boris Kovalerchuk on his Anniversary Issue 683. Springer, 2017. doi P. 147-157. doi
- Chapter Nascimento S., Mirkin B. Ideal type model and an associated method for relational fuzzy clustering, in: 2017 IEEE International Conference Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. doi P. 1-6. doi
- Book Родин И. В., Mirkin B. International Joint Conference on Rough Sets, Springer, Cham.. Springer, 2017.
- Article Mirkin B., Amorim R., Makarenkov V., Shestakoff A. The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning // Pattern Recognition. 2017. Vol. 67. P. 62-72.
- 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 de Amorim R. C., Makarenkov V., Mirkin B. A-Wardpβ: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation // Information Sciences. 2016. Vol. 370-371. No. November . P. 343-354. doi
- Chapter Mirkin B. Approximate clusters, biclusters and n-clusters in the analysis of binary and general data matrices, 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. 7-8.
- Preprint Mirkin B., Fenner T. TIED RANKINGS, ORDERED PARTITIONS, AND WEAK ORDERS: DISTANCE AND CONSENSUS / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2016. No. 8.
- Chapter Родин И. В., Artemova E., Dubov M., Mirkin B. Visualization of Dynamic Reference Graphs, in: Proceedings of TextGraphs-10: the Workshop on Graph-based Methods for Natural Language Processing. Stroudsburg, PA : Association for Computational Linguistics, 2016. P. 34-38.
- Article Nascimento S., Casca S., Mirkin B. A seed expanding cluster algorithm for deriving upwelling areas on sea surface temperature images // Computers & Geosciences. 2015. Vol. 85. No. Part B. P. 74-85. doi
- Article Mirkin B., Kovaleva E. V. Bisecting K-Means and 1D Projection divisive clustering: a unified framework and experimental comparison // Journal of Classification. 2015. Vol. 32. No. 3. P. 414-442. doi
- Article Artemova E., Mirkin B. Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources // Annals of Data Science. 2015. Vol. 2. No. 1. P. 61-82.
- Chapter Mirkin B., Orlov M. A. Three Aspects of the Research Impact by a Scientist: Measurement Methods and an Empirical Evaluation, in: Optimization, Control, and Applications in the Information Age: In Honor of Panos M. Pardalos's 60th Birthday Vol. 130: Springer Proceedings in Mathematics & Statistics. Switzerland : Springer, 2015. doi P. 233-259. doi
- 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
- Chapter Artemova E. A Method for Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources, in: Procedia Computer Science. 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. National Research University Higher School of Economics (HSE) in Moscow (Russia) on June 3-5, 2014 / Ed. by Y. Shi, A. Lepskiy, F. T. Aleskerov. Vol. 31. Amsterdam : Elsevier, 2014. Ch. 22. P. 193-200.
- Chapter Mirkin B., Shestakoff A. A Note on the Effectiveness of the Least Squares Consensus Clustering, in: Clusters, orders, trees: methods and applications. In Honor of Boris Mirkin's 70th Birthday / Ed. by F. T. Aleskerov, B. I. Goldengorin, P. M. Pardalos. Vol. 92. Berlin : Springer, 2014.
- Chapter Mirkin B., Artemova E. An AST method for scoring string-to-text similiarity in semantic text analysis, in: Clusters, orders, trees: methods and applications. In Honor of Boris Mirkin's 70th Birthday / Ed. by F. T. Aleskerov, B. I. Goldengorin, P. M. Pardalos. Vol. 92. Berlin : Springer, 2014.
- Chapter E. Morenko, Artemova E., Mirkin B. Conceptual maps: construction over a text collection and analysis, in: 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. P. 163-169.
- Chapter Mirkin B., Andrey Shestakov. Least-squares consensus clustering versus: (a) other consensus approaches and (b) k-means, in: Clusters, orders, trees: methods and applications. In Honor of Boris Mirkin's 70th Birthday / Ed. by F. T. Aleskerov, B. I. Goldengorin, P. M. Pardalos. Vol. 92. Berlin : Springer, 2014. (in press)
- Preprint Mirkin B., Orlov M. A. RESEARCH IMPACT: LEVEL OF RESULTS, CITATION, MERIT / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2014. No. 9.
- Article Mirkin B. Review of “Cell formation in industrial engineering: theory, algorithms and experiments” by Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos // Optimization Letters. 2014
- Chapter Mirkin B., Amorim R. Selecting the Minkowski Exponent for Intelligent K-Means with Feature Weighting, in: Clusters, orders, trees: methods and applications. In Honor of Boris Mirkin's 70th Birthday / Ed. by F. T. Aleskerov, B. I. Goldengorin, P. M. Pardalos. Vol. 92. Berlin : Springer, 2014. P. 1250-1257. doi
- Chapter Artemova E., Mirkin B. Computationally refining a taxonomy by using annotated suffix trees over Wikipedia resources, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 29 мая - 2 июня 2013 г.). В 2-х т. Т. 2: Доклады специальных секций. Вып. 12(19). М. : РГГУ, 2013. P. 177-185.
- Chapter Mirkin B. Individual approximate clusters: methods, properties, applications, in: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing Issue 8170: Lecture Notes in Artificial Intelligence. Heidelberg : Springer, 2013. P. 26-37.
- Article Mirkin B., Nascimento S., Felizardo R. Laplacian normalization for deriving thematic fuzzy clusters with an additive spectral approach // Expert Systems: The Journal of Knowledge Engineering. 2013. Vol. 30. No. 4. P. 294-305.
- Chapter Mirkin B., Shestakoff A. Least squares consensus clustering: criteria, methods, experiments, in: Advances in Information Retrieval. L. : Springer, 2013. P. 764-768.
- Chapter Mirkin B., Svetlova L., Lei H. MFWK-Means: Minkowski Metric Fuzzy Weighted K-Means for high dimensional data clustering, in: Information Reuse and Integration (Proceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration). Piscataway : IEEE, 2013. P. 692-699.
- Chapter Boris Mirkin. Methods for interpretation of data in medical informatics, in: Advances in intelligent analysis of medical data and decision support systems Vol. 473: Studies in computational intelligence. Heidelberg : Springer, 2013. P. 15-22.
- Chapter Mirkin B. Summary and semi-average similarity criteria for individual clusters, in: Models, Algorithms, and Technologies for Network Analysis / Ed. by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos. Vol. 59. NY : Springer, 2013. P. 101-126.
- Article Mirkin B., Nascimento S. Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices // Information Sciences. 2012. No. 183. P. 16-34. doi
- Chapter Mirkin B., Nascimento S., Pereira L. M. Method for Intelligent Representation of Research Activities of an Organization over a Taxonomy of Its Field, in: Advances in Reasoning-Based Image Processing Intelligent Systems: Conventional and Intelligent Paradigms, Series on Intelligent Systems Reference Library Vol. 29: Series on Intelligent Systems Reference Library. Heidelberg : Springer, 2012. P. 423-454.
- Article Mirkin B., Amorim R. Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering // Pattern Recognition. 2012. Vol. 45. No. 3. P. 1061-1075. doi
- Chapter Artemova E., Чугунова О. Н., Аскарова Ю. А., Nascimento S., Mirkin B. Abstracting concepts from text documents by using an ontology, in: CDUD – 2010: International Workshop on Concept Discovery in Unstructured Data. M. : Higher School of Economics Publishing House, 2011. P. 20-31.
- Article Mirkin B. Approximate bicluster and tricluster boxes in the analysis of binary data // Lecture Notes in Computer Science. 2011. Vol. 6743. P. 248-256.
- Article Mirkin B. Choosing the number of clusters // WIREs Data Mining and Knowledge Discovery. 2011. No. 3. P. 252-260.
- Book Mirkin B. Core concepts in data analysis: summarization, correlation, visualization (Undergraduate topics in Computer Science). L. : Springer, 2011. doi
- Article Nascimento S., Mirkin B. Developing Additive Spectral Approach to Fuzzy Clustering // Lecture Notes in Computer Science. 2011. Vol. 6743. P. 273-277.
- Article Nascimento S., Fenner T., Felizardo R., Mirkin B. How to visualize a crisp or fuzzy topic set over a taxonomy // Lecture Notes in Computer Science. 2011. Vol. 6744. P. 3-12.
- Book Lecture Notes in Artificial Intelligence / Ed. by S. Kuznetsov, D. Slezak, D. H. Hepting, B. Mirkin. Vol. 6743: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. L., NY, Dordrecht, Heidelberg : Springer, 2011.
- Book 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.
- Article Mirkin B., Fenner T., Nascimento S., Pereira L. M. A Hybrid Cluster-Lift Method for the Analysis of Research Activities // Lecture Notes in Computer Science. 2010. Vol. 6076. No. 1. P. 152-161.
- Article Voulgaris Z., Mirkin B. Choosing a discernibility measure for reject-option of individual and multiple classifiers // International Journal of General Systems. 2010. Vol. 39. No. 8. P. 855-871. doi
- Article Chiang M., Mirkin B. Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads // Journal of Classification. 2010. Vol. 27. No. 1. P. 3-40. doi
- Article Mirkin B., Fenner T., Kellam P., Camargo R. Similarity Clustering of Proteins Using Substantive Knowledge and Reconstruction of Evolutionary Gene Histories in Herpesvirus // Theoretical Chemistry Accounts: Theory, Computation, and Modeling (Theoretica Chimica Acta). 2010. Vol. 125. No. 3-6. P. 569-581.
- Chapter Mirkin B., Nascimento S., Pereira L. M. Cluster-lift method for mapping research activities over a concept tree, in: Recent Advances in Machine Learning II. Берлин, Хайдельберг : Springer, 2009. P. 245-257.
- Article Stanforth R., Mirkin B., Kolossov E. A measure of domain of applicability for QSAR modelling based on intelligent K-Means clustering // QSAR and Combinatorial Science. 2007. Vol. 26. No. 7. P. 837-844.
- Article Pampapathi R., Levene M., Mirkin B. A suffix tree approach to anti-spam email filtering // Machine Learning. 2006. Vol. 65. P. 309-338.
- Article Mirkin B. Cluster Analysis for Researchers: A Book Review // Journal of Classification. 2005. No. 21(2)
- Article Миркин Б. Г., Muchnik I. Layered clusters of tightness set functions // Applied Mathematics Letters. 2004. № 15(3)
- Article Koonin E., Fenner T., Mirkin B., Galperin M. Algorithms for computing parsimonious evolutionary scenarios for genome evolution, the last universal common ancestor and dominance of horizontal gene transfer in the evolution of prokaryotes // BMC Evolutionary Biology. 2003. Vol. 3. No. 2
- Article Mirkin B., Rogozin I., Koonin E. Evolution of eukaryotic gene repertoire and gene structure: discovering the unexpected dynamics of genome evolution // Cold Spring Harbor Symposia on Quantitative Biology. 2003. No. 68
- Article Mirkin B., Nascimento S., Moura F. Modeling proportional membership in fuzzy clustering // IEEE Transactions on Fuzzy Systems. 2003. No. 11(2)
- Article Mirkin B., Sorokin A., Wolf Y., Rogozin I., Koonin E. Remarkable conservation of intron positions and massive, lineage-specific intron loss and gain in eukaryotic evolution // Current Biology. 2003. No. 13
- Article Mirkin B., Muchnik I. Induced layered clusters, hereditary mappings, and convex geometries // Applied Mathematics Letters. 2002. No. 15(4)
- Article Mirkin B., Levin M. I., Bakaleinik E. Intelligent K-Means clustering in analysis of newspaper articles on bribing // Искусственный интеллект. 2002. No. 2. P. 365-373.
- Article Mirkin B. Eleven ways to look at the chi-squared coefficient for contingency tables // American Statistician. 2001. Vol. 55. No. 2. P. 111-120.
- Article Mirkin B. Concept learning and feature selection based on square-error clustering // Machine Learning. 1999. No. 35(1)
- Article Mirkin B. Least-squares structuring, clustering, and related computational Issues // Computer Journal. 1998. No. 41(8)
- Article Mirkin B., Muchnik I. Monotone linkage clustering and quasi-concave set functions // Applied Mathematics Letters. 1997. No. 10(4)
- Article Mirkin B. Clustering for contingency tables: Boxes and partitions // Statistics and Computing. 1996. No. 6
- Article Smith R. T., Mirkin B., Muchnik I. A biologically consistent model for comparing phylogeny trees // Journal of Computational Biology. 1995. No. 2(4)
- Article Mirkin B., Hubert L., Arabie P. Additive two-mode clustering: The error-variance approach revisited // Journal of Classification. 1995. No. 12(2)
- Article Mirkin B., Eulenstein O., Vingron M. Duplication-based measures of difference between gene and species trees // Journal of Computational Biology. 1995. No. 5(1)
- Article Roberts F., Mirkin B. Consensus functions and patterns in molecular sequences // Bulletin of Mathematical Biology. 1992. No. 55
- Article Mirkin B. Sequential fitting procedures for linear data aggregation model // Journal of Classification. 1990. No. 7
- Article Mirkin B. Additive clustering and qualitative factor analysis methods for similarity matrices // Journal of Classification. 1987. No. 2
- Article Mirkin B. Description of some relations on the set of real-line intervals // Journal of Mathematical Psychology. 1972. No. 9(2)
Employment history
1967-1982 Researcher, Head of Lab.(1975) Institute of Economics , Siberian Branch of Soviet Academy of Sciences, Novosibirsk, Russia
1982-2000 Senior researcher, Central Economics-Mathematics Institute of RAS, Moscow
2000-2008 Professor, Birkbeck University of London, London UK
2008-pres.. Professor, National Research University Higher School of Economics,Moscow RF
Part time
1970-1982 Assoc.Professor Department of Mathematics-Economics Methods, Novosibirsk, State University, Novosibirsk
1984-1991 Assoc.Professor Department of Mathematics and Statistics, Higher School ofTrade Unions of the USSR, Moscow
2008-2010 Professor Birkbeck University of London, London UK
2009-pres. Leading research Laboratory on Decision Choice and Analysis at HSE Moscow
2010-2020 research results
- A method for pattern recognition utilizing information of the structure of pattern neighborhood both for a single classifier and multiple classifiers (in collaboration with Zacharias Voulgaris, Birkbeck College Ph.D. Student; published in 2010)
- Experimental assessment of the author-proposed “intelligent” version of the popular K-means clustering method (iK-Means). It is experimentally shown that the iK-means method outperforms seven other methods in various conditions (in collaboration with Ming-Tso Chiang, Birkbeck College Ph.D. Student; published in 2010)
- A method for representation of research organization’s activities by means of optimal lifting over a taxonomy of the domain under consideration (in collaboration with Prof. T. Fenner, Birkbeck University of London, UK and Dr. S. Nascimento, New University of Lisbon, Portugal, partially published in 2010)
- A system and description of data analysis main methods (published as a textbook, Core Concepts in Data Analysis: Summarization, Correlation, Visualization, Springer, 2011, 388 p.)
- Extending k-means clustering to the case of Minkowski distance with automatic choice of feature weights (jointly with Birkbeck PhD student Renato Amorim, published 2012)
- Method of annotated suffix tree for automation of the analysis of the relationship between a set of key phrases and a collection of unstructured texts applied to problems such as annotation of research papers, completion of taxonomies, etc. (jointly with E. Chernyak, published in 2012-2015, mostly in Russian)
- Method for automatic combining multiple criteria in a convex combination; its verification at specially developed models of data generation (jointly with NRU HSE PhD student M. Orlov, pubished in 2014-1015)
- Method for direct assessment of the level of research results using a taxonomy of the research domain; its partial verification at the data analysis domain (jointly with NRU HSE PhD student M. Orlov, pubished in 2014-1015)
- Adaptation of my earlier method for anomalous clustering to problems of the analysis of temperature maps of the sea surface (jointly with Dr. S. Nascimento, New University of Lisbon, Portugal, published 2015)
- A novel method for divisive cluster-analysis with random projections of the data (jointly with Е. Kovaleva, published 2015)
- Method for accelerating agglomerative clustering by using my method of anomalous clusters (jointly with R. De Amorin (Essex UK) and V. Makarenkov (Montreal Canada), published in 2016)
- Method for concensus partitioning by using Minkowski metrics (jointly with R. De Amorin (Essex UK) and V. Makarenkov (Montreal Canada), published in 2017)
- Method for finding super-clusters to consist of "tight" core and shell, for datasets represented by similarity graphs both in statics and dynamics (joinyly with I. Rodin, partly published in 2017)
- Method for parsimonious lifting of leaf clusters in the rooted tree of a domain taxonomy to the higher ranks is extended to the case at which the cluster is fuzzy (jointly with D. Frolov, T. Fenner (London UK) and S. Nascimento (LIsbon Portugal), published in 2019)
- A hybrid method for the analysis of tendencies in researh within a domain by using a domain taxonomy and a collection of papers within the domain, combining my three earlier developed mehods (string-to-text relevance scoring, fuzzy clustering, and parsimonious lifting of fuzzy clusters), jointly with D. Frolov, T. Fenner (London UK) and S. Nascimento (LIsbon Portugal) published in 2020
Current research
- Method of anomalous cluster in delineating upwellings in coastal waters (jointly with S. Nascimento (New University of Lisbon, Portugal), 2014-2015
- Methods for evaluation of the quality/level of research results (jointly with PhD student M.A. Orlov) 2013-2015
- Methods for stratification of objects over a set of criteria (jointly with PhD student M.A. Orlov) 2012-2015
- Methods for analysis and visualization of unstructured texts (jointly with E.L. Chernyak); supported by grants from the Academic Fund of HSE to lead a group of 5-6 students (2012-2015)
- An additive spectral method for cluster analysis of similarity matrices, its experimental verification and application (in collaboration with Dr. S. Nascimento, New University of Lisbon, Portugal).
- Stopping criteria for divisive hierarchical clustering algorithms (in collabortion with E.Kovaleva, HSE student)
- Approximate tri-clusters (in collabortion with A. Kramarenko, D. Gnatyshak, D.I.Ignatov,
- Methods for interpretation of thematic clusters over hierarchical taxonomies and other cognitive structures (in collaboration with Prof. T. Fenner, Birkbeck University of London, UK, and Dr. S. Nascimento, New University of Lisbon, Portugal)
- Methods for analysis and classification of a corpus of unstructured text documents by using the techniques of annotated suffix trees and taxonomies of specific domains. These methods are to be applied to programmes of teaching courses, taught in HSE (in collaboration with E.Chernyak, O.Chugunova, J.Askarova, HSE students). This work is part of the research project “Teacher–Students: Development and adaptation of cluster analysis methods to automate the analysis of textual information by using a specific domain’s ontology”. Six students of the School of Applied Mathematics and Informatics take part in this project, supported by the HSE Research Foundation 2011-2012.
Participation in conferences in 2010 – 2011
- 11th Russian national symposium “Strategy planning and enterprises development”, April 2010, CEMI of RAS, invited plenary talk “Representing research organization activities, considering the structure of the research area domain: the cluster-lift method”
- 4th International Conference “Knowledge Science, Engineering and Management”, September 2010, Belfast, Northern Ireland, UK. Paper: Constructing and mapping fuzzy thermatic clusters to higher ranks in a taxonomy (jointly with S. Nascimento, T. Fenner, and L.M. Pereira) has been selected among six others to have been published in International Journal of Software and Informatics, 2010. № 4(3). C. 257—275.
- 13th International Conference on Rough Sets, Data Mining, Fuzzy Sets and Granular Computing (RSFDGrC-2011), Moscow HSE June 2011 – General Chair
- 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI-2011), Moscow HSE June 2011, Invited plenary talk.
- International Conference on Classifications, Glasgow UK, July 2011 – Member of the organizing committee, a paper
- Biannual conference of International Federation of Classification Societies, Frankfurt, Germany, August 2011 – Member of the Program Committee, a paper
- 2011 meeting of the European Mathematical Psychology Group, August 2011, Telecom, Paris, France – Member of the Scientific Committee
Recent funded projects
HSE grant for individual research projects 2009: 09-01-0071 "Interrelation between spectral and approximation approaches to cluster analysis"
HSE grant 11-04-0019 “Teacher–Students: Development and adaptation of cluster analysis methods to automate the analysis of textual information by using a specific domain’s ontology” (Six students of the School of Applied Mathematics and Informatics take part in this project)
HSE Academic Programme grant Research and Study Lab 13-05-0047 Methods for text visualization using suffix trees, multifacet classifications and hierarchic ontologies: algorithms and software (six students involved)
All-Moscow seminar "Mathematical methods of decision analysis in economics, finance and politics"
On Wednesday, October 21, the National Research University Higher School of Economics hosted a regular meeting of the All-Moscow seminar "Mathematical methods for analyzing optimal solutions in economics, business and politics".
All-Moscow seminar "Mathematical methods of decision analysis in economics, finance and politics"
On Wednesday, September 16, the National Research University Higher School of Economics hosted a regular meeting of the All-Moscow seminar "Mathematical methods for analysing optimal solutions in economics, business and politics".
Dmitry Frolov on his visit to Metz
The 6th World Congress on Global Optimization (WCGO-2019) was held in the French city of Metz from July 8 to July 10, 2019. The event was held at the University of Lorraine (Université de Lorraine). Dmitry Frolov shared his impressions on his visit to Metz.
Dmitry Frolov on his visit to Zakopane
The 18th International Conference on Artificial Intelligence and Soft Computing (ICAISC) was held at the Mercury Hotel, located in the Polish city of Zakopane, from June 16 to June 20, 2019. Dmitry Frolov shared his impressions on his visit to Metz.
Lecture by B. Mirkin on "Generalization in taxonomies: model, method, applications"
On Wednesday, May 15 the all-Russian seminar "Mathematical methods of decision analysis in economics, finance and politics" was held. B. Mirkin gave a lecture on B. Mirkin on "Generalization in taxonomies: model, method, applications".
Fuad Aleskerov Elected to Academia Europaea
Tenured HSE Professor Fuad Aleskerov, who is the head of the Faculty of Economic Sciences’ Department of Mathematics, has become a member of the Informatics section of the Academia Europaea.
Joint Projects in Big Data Discussed at HSE
The workshop on ‘Big Data and Applications’ was organized by HSE School of Business Informatics, Institut Mines-Télécom in association with CNRS MADICS with the support of the French Embassy in Russia, and the French Ministry of Higher Education, Research and Innovation.
Laureates of Golden HSE 2016
On December 20, 2016, the ZIL Cultural Centre hosted this year’s Golden HSE awards ceremony. This year saw several significant changes to the award rules: new nominations have appeared, many of them were divided into categories for different groups of employees — all to help ensure HSE was able to express its gratitude to a larger number of worthy candidates.
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.
On Wednesday, October 21 the all-Russian seminar "Mathematical methods of decision analysis in economics, finance and politics" was held
Speaker: Boris Mirkin (HSE, Russia)
Title: "The metric tide: evaluation of research impact"
Faculty of Computer Science: an Impressive Start
The Faculty of Computer Science is only one year old – it was founded March 28, 2014 – but it already has a rich history and ambitious plans. Ivan Arzhantsev, the dean of the Faculty of Computer Science, spoke to The HSE Look about highlights from the past year, current research focuses, and the faculty’s plans for the future.
HSE on Coursera: This is only the start
The 11 educational courses completed in the first year of HSE's cooperation with Coursera won an audienec of 300,000. The courses' lecturers talked about how they succeeded in doing this at a round table at HSE.
Experts discuss issues related to big data processing
The Second International Conference on Information Technology and Quantitative Management (ITQM 2014) took place on June 3-5, drawing 120 professionals from 29 countries to consider issues of model performance and decision-making algorithms when processing large amounts of data.
ECIR 2013: in Search of Everything
On March 24 -27 2013, the 35th European Conference on Information Retrieval (ECIR) took place in Russia. Yandex and the HSE School of Applied Mathematics and Information Science organized the conference, which was held in Russia for the first time. More than 300 researchers, mainly from Western European research centres and universities, took part .
Intellectual Integration: Multiply by Two
From June 25th – 29th the HSE School of Applied Mathematics and Informatics will organize two international conferences. Sergey Kuznetsov, Head of the School, told us about the participants, tasks and programmes of both conferences.