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Journal Articles
- 2020
[j1]Dmitry Frolov
, Susana Nascimento, Trevor I. Fenner, Boris G. Mirkin:
Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science. Inf. Sci. 512: 595-615 (2020)
Conference and Workshop Papers
- 2022
- [c10]Zhirayr Hayrapetyan, Susana Nascimento, Trevor I. Fenner, Dmitry Frolov, Boris G. Mirkin:
Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion. WorldCIST (2) 2022: 141-147 - 2021
- [c9]Dmitry Frolov, Boris G. Mirkin:
GOT: Generalization over Taxonomies, a Software Toolkit for Content Analysis with Taxonomies. WorldCIST (2) 2021: 513-521 - 2020
- [c8]Boris G. Mirkin, Dmitry Frolov, Alex Vlasov, Susana Nascimento, Trevor I. Fenner:
A Hybrid Approach to the Analysis of a Collection of Research Papers. IDEAL (2) 2020: 423-433 - [c7]Boris G. Mirkin, Dmitry Frolov, Alex Vlasov, Susana Nascimento, Trevor I. Fenner:
A Hybrid Approach to Interpretable Analysis of Research Paper Collections. WIMS 2020: 184-189 - 2019
- [c6]Dmitry Frolov, Susana Nascimento, Trevor I. Fenner, Boris G. Mirkin:
Using Taxonomy Tree to Generalize a Fuzzy Thematic Cluster. FUZZ-IEEE 2019: 1-6 - [c5]Dmitry Frolov, Boris G. Mirkin, Susana Nascimento, Trevor I. Fenner:
Method for Generalization of Fuzzy Sets. ICAISC (1) 2019: 273-286 - [c4]Dmitry Frolov, Susana Nascimento, Trevor I. Fenner, Zina Taran, Boris G. Mirkin:
Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences. IDEAL (2) 2019: 3-11 - [c3]Dmitry Frolov, Zina Taran, Boris G. Mirkin:
A Method for Audience Extending in Programmatic Advertising by Using Parsimonious Generalization of User Segments. IHIET 2019: 837-841 - [c2]Dmitry Frolov:
Benchmarking of Different Approaches for Objects Matching. DAMDID/RCDL 2019: 371-380 - [c1]Dmitry Frolov, Boris G. Mirkin, Susana Nascimento, Trevor I. Fenner:
Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree. WCGO 2019: 779-789
Coauthor Index
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