Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree

Алексеев А. М., Чайчук М. В., Butko M. и др., , in: 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Kanazawa, Japan, July 4–6, 2025, Proceedings, Part I. Natural Language Processing and Information Systems. (LNCS, volume 15836)* I. Vol. 15836.: Springer, 2025. P. 426–441.

Добавлено: 3 февраля 2026 г.

Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion

Zhirayr Hayrapetyan, Nascimento S., Trevor F. и др., , in: Information Systems and Technologies: WorldCIST 2022, Volume 2Issue 469.: Springer, 2022. P. 141–147.

Добавлено: 18 ноября 2022 г.

A Hybrid Approach to the Analysis of a Collection of Research Papers

Миркин Б. Г., Фролов Д. С., Vlasov A. и др., , in: Intelligent Data Engineering and Automated Learning – IDEAL 2020/ 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part IIVol. 12490: Lecture Notes in Computer Science.: Cham: Springer, 2020. P. 423–433.

Добавлено: 13 ноября 2020 г.

A Hybrid Approach to Interpretable Analysis of Research Paper Collections

Миркин Б. Г., Фролов Д. С., Власов А. С. и др., , in: WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics.: Association for Computing Machinery (ACM), 2020. P. 184–189.

Добавлено: 28 августа 2020 г.

Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences

Фролов Д. С., Миркин Б. Г., Nascimento S. и др., , in: Intelligent Data Engineering and Automated Learning – IDEAL 2019Vol. 2.: Springer, 2019. P. 3–11.

Добавлено: 7 декабря 2019 г.

Intelligent Data Engineering and Automated Learning – IDEAL 2019

Springer, 2019.

Добавлено: 7 декабря 2019 г.

Using Taxonomy Tree to Generalize a Fuzzy Thematic Cluster

Фролов Д. С., Миркин Б. Г., Nascimento S. и др., , in: Fuzzy Systems (FUZZ-IEEE), IEEE International Conference Proceedings.: IEEE, 2019. P. 1–6.

Добавлено: 30 октября 2019 г.

Parsimonious Generalization of Fuzzy Thematic Sets in Taxonomies Applied to the Analysis of Tendencies of Research in Data Science

Фролов Д. С., Nascimento S., Fenner T. и др., Information Sciences 2020 Vol. 512 P. 595–615

Добавлено: 9 октября 2019 г.

A Method for Audience Extending in Programmatic Advertising by Using Parsimonious Generalization of User Segments

Фролов Д. С., Taran Z., Миркин Б. Г., , in: International Conference on Human Interaction and Emerging Technologies.: Springer, 2020. P. 837–841.

Добавлено: 31 июля 2019 г.

Using Domain Taxonomy to Model Generalization of Thematic Fuzzy Clusters

Фролов Д. С., Миркин Б. Г., Nascimento S. и др., , in: CONTENT 2019, The Eleventh International Conference on Creative Content Technologies.: International Academy, Research, and Industry Association (IARIA), 2019. P. 20–25.

Добавлено: 4 июня 2019 г.

CONTENT 2019, The Eleventh International Conference on Creative Content Technologies

International Academy, Research, and Industry Association (IARIA), 2019.

Добавлено: 4 июня 2019 г.

Method for Generalization of Fuzzy Sets

Фролов Д. С., Миркин Б. Г., Nascimento S. и др., , in: International Conference on Artificial Intelligence and Soft Computing. 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings* 1. Issue 11508.: Cham: Springer, 2019. P. 273–286.

We define and find a most specific generalization of a fuzzy set of topics assigned to leaves of the rooted tree of a taxonomy. This generalization lifts the set to a “head subject” in the higher ranks of the taxonomy, that is supposed to “tightly” cover the query set, possibly bringing in some errors, both ...

Добавлено: 3 июня 2019 г.

International Conference on Artificial Intelligence and Soft Computing. 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings

Cham: Springer, 2019.

The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019. The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the ...

Добавлено: 3 июня 2019 г.