| Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science D Frolov, S Nascimento, T Fenner, B Mirkin Information Sciences 512, 595-615, 2020 | 11 | 2020 |
| Finding an appropriate generalization for a fuzzy thematic set in taxonomy D Frolov, B Mirkin, S Nascimento, T Fenner Series WP7 4, 2018 | 10 | 2018 |
| A Hybrid approach to the analysis of a collection of research papers B Mirkin, D Frolov, A Vlasov, S Nascimento, T Fenner Intelligent Data Engineering and Automated Learning–IDEAL 2020: 21st …, 2020 | 1 | 2020 |
| A method for audience extending in programmatic advertising by using parsimonious generalization of user segments D Frolov, Z Taran, B Mirkin Human Interaction and Emerging Technologies: Proceedings of the 1st …, 2020 | 1 | 2020 |
| Using taxonomy tree to generalize a fuzzy thematic cluster D Frolov, S Nascimento, T Fenner, B Mirkin 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019 | 1 | 2019 |
| Computational generalization in taxonomies applied to:(1) analyze tendencies of research and (2) extend user audiences D Frolov, S Nascimento, T Fenner, Z Taran, B Mirkin Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019 | 1 | 2019 |
| Modeling a most specific generalization in domain taxonomies Z Hayrapetyan, B Mirkin, S Nascimento, T Fenner, D Frolov | | 2023 |
| Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion Z Hayrapetyan, S Nascimento, T Fenner, D Frolov, B Mirkin World Conference on Information Systems and Technologies, 141-147, 2022 | | 2022 |
| Using the IAB Contents Taxonomy and Optimal Lifting for Efficient Audience Extension D Frolov, Z Taran, B Mirkin International Conference on Intelligent and Fuzzy Systems, 596-603, 2021 | | 2021 |
| Метод максимального правдоподобия для обобщения нечетких множеств в таксономиях ЖС Айрапетян, ДС Фролов, БГ Миркин ББК 22.1, 32.97 я43 В85, 96, 2021 | | 2021 |
| GOT: Generalization over Taxonomies, a Software Toolkit for Content Analysis with Taxonomies D Frolov, B Mirkin Trends and Applications in Information Systems and Technologies: Volume 2 9 …, 2021 | | 2021 |
| A Hybrid Approach to Interpretable Analysis of Research Paper Collections B Mirkin, D Frolov, A Vlasov, S Nascimento, T Fenner Proceedings of the 10th International Conference on Web Intelligence, Mining …, 2020 | | 2020 |
| Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree D Frolov, B Mirkin, S Nascimento, T Fenner Optimization of Complex Systems: Theory, Models, Algorithms and Applications …, 2020 | | 2020 |
| Method for Generalization of Fuzzy Sets D Frolov, B Mirkin, S Nascimento, T Fenner Artificial Intelligence and Soft Computing: 18th International Conference …, 2019 | | 2019 |
| Editors of the Series WP7 “Mathematical methods for decision making in economics, business and politics” Fuad Aleskerov, Boris Mirkin, Vladislav Podinovskiy F Aleskerov | | 2018 |
| Annotated suffix tree as a way of text representation for information retrieval in text collections DS Frolov Бизнес-информатика, 63-70, 2015 | | 2015 |
| A Three-Step Method for Audience Extension in Internet Advertising Using an Industrial Taxonomy D Frolov, Z Taran Data Analysis and Optimization: In Honor of Boris Mirkin's 80th Birthday …, 2012 | | 2012 |
| Using Domain Taxonomy to Model Generalization of Thematic Fuzzy Clusters D Frolov, S Nascimento, T Fenner, B Mirkin | | |
Boris MirkinProf., Higher School of Economics, Moscow RF; Prof. Emeritus, Birkbeck University of LondonVerified email at hse.ru
