Proc. 11th International Conference on Formal Concept Analysis (ICFCA 2013). Val. 7880.

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Proc. 11th International Conference on Formal Concept Analysis (ICFCA 2013)

Vol. 7880. Springer, 2013.

Ответственный редактор: P. Cellier, F. Distel, Ganter B.

Fitting Pattern Structures for Knowledge Discovery in Big Data

Кузнецов С. О., , in: Proc. 11th International Conference on Formal Concept Analysis (ICFCA 2013)Vol. 7880.: Springer, 2013. P. 254–266.

Pattern structures, an extension of FCA to data with complex descriptions, propose an alternative to conceptual scaling (binarization) by giving direct way to knowledge discovery in complex data such as logical formulas, graphs, strings, tuples of numerical intervals, etc. Whereas the approach to classification with pattern structures based on preceding generation of classifiers can lead ...

Добавлено: 2 июня 2013 г.

Язык: английский

Ключевые слова: FCA (Formal Concept Analysis)

Proc. 11th International Conference on Formal Concept Analysis (ICFCA 2013)

Recovery degree constrained equiconcept/pseudo-equiconcept reduction in symmetric formal contexts

Junyu B., Fei H., Huilin F. и др., International Journal of Approximate Reasoning 2025 Vol. 187 Article 109541

Добавлено: 1 декабря 2025 г.

Clustering with Stable Pattern Concepts

Дудырев Е. О., Mariia Zueva, Кузнецов С. О. и др., , in: FCA4AI 2024: The 12th International Workshop "What can FCA do for Artificial Intelligence?", October 19 2024, Santiago de Compostela, SpainVol. 3911.: CEUR Workshop Proceedings, 2024. P. 47–58.

Добавлено: 30 апреля 2025 г.

FCA4AI 2024: The 12th International Workshop "What can FCA do for Artificial Intelligence?", October 19 2024, Santiago de Compostela, Spain

CEUR Workshop Proceedings, 2024.

Добавлено: 29 апреля 2025 г.

Constructing decision quivers

Дудырев Е. О., Кузнецов С. О., Napoli A., , in: FCA4AI 2023 What can FCA do for Artificial Intelligence 2023 Proceedings of the 11th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, S.A.R. China; August 20, 2023Vol. 3489.: CEUR-WS.org, 2023. P. 69–80.

Добавлено: 4 октября 2023 г.

Description Quivers for Compact Representation of Concept Lattices and Ensembles of Decision Trees

Дудырев Е. О., Кузнецов С. О., Napoli A., , in: 17th International Conference, ICFCA 2023, Kassel, Germany, July 17–21, 2023, Proceedings. Formal Concept Analysis, (LNCS, volume 13934).: Switzerland: Springer, 2023. P. 127–142.

Добавлено: 4 октября 2023 г.

Triclustering in Big Data Setting

Егурнов Д. А., Точилкин Д. С., Игнатов Д. И., , in: Complex Data Analytics with Formal Concept Analysis.: Springer, 2022. P. 239–258.

Добавлено: 1 ноября 2022 г.

Complex Data Analytics with Formal Concept Analysis

Springer, 2022.

Добавлено: 1 ноября 2022 г.

Organizing Contexts as a Lattice of Decision Trees for Machine Reading Comprehension

Galitsky B., Ильвовский Д. А., Гончарова Е. Ф., , in: Proceedings of the 10th International Workshop "What can FCA do for Artificial Intelligence?"Vol. 3233.: CEUR Workshop Proceedings, 2022. P. 75–87.

Добавлено: 1 ноября 2022 г.

Towards Fast Finding Optimal Short Classifiers

Дудырев Е. О., Кузнецов С. О., , in: Proceedings of the 10th International Workshop "What can FCA do for Artificial Intelligence?"Vol. 3233.: CEUR Workshop Proceedings, 2022. P. 23–34.

Добавлено: 1 ноября 2022 г.

Summation of Decision Trees

Дудырев Е. О., Кузнецов С. О., , in: Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021)Vol. 2972.: CEUR-WS, 2021. Ch. 9 P. 99–104.

Добавлено: 8 декабря 2021 г.

Exploring the dataset structure by means of delta-classes of equivalence. The case of the titanic dataset?

Бузмаков А. В., Кузнецов С. О., Makhalova T. и др., , in: Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021)Vol. 2972.: CEUR-WS, 2021. Ch. 2 P. 19–26.

Добавлено: 7 декабря 2021 г.

Concept-based chatbot for interactive query refinement in product search

Гончарова Е. Ф., Ильвовский Д. А., Galitsky B., , in: Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021)Vol. 2972.: CEUR-WS, 2021. P. 51–58.

Добавлено: 28 октября 2021 г.

On pattern setups and pattern multistructures

Belfodil A., Кузнецов С. О., Kaytoue M., International Journal of General Systems 2020 Vol. 49 No. 8 P. 785–818

Добавлено: 25 января 2021 г.

FCA-based Approach for Interactive Query Refinement with IR-chatbots

Махалова Т. П., Ильвовский Д. А., Галицкий Б. А. и др., , in: RAAI 2020 Russian Advances in Artificial Intelligence 2020 Selected Contributions of the "Russian Advances in Artificial Intelligence" Track at RCAI 2020 co-located with 18th Russian Conference on Artificial Intelligence (RCAI 2020)Vol. 2648.: CEUR-WS, 2020. P. 144–156.

Добавлено: 15 сентября 2020 г.

Multimodal Clustering of Boolean Tensors on MapReduce: Experiments Revisited

Игнатов Д. И., Егурнов Д. А., Точилкин Д. С., , in: Supplementary Proceedings ICFCA 2019 Conference and WorkshopsVol. 2378.: CEUR Workshop Proceedings, 2019. P. 137–151.

Добавлено: 31 октября 2019 г.

Probably Approximately Correct Completion of Description Logic Knowledge Bases

Объедков С. А., Sertkaya B., Zolotukhin D., , in: 32nd International Workshop on Description Logics, DL 2019; Oslo; Norway; 18 June 2019 through 21 June 2019.: CEUR-WS.org, 2019. P. 1–10.

Добавлено: 29 октября 2019 г.

Probably approximately correct learning of Horn envelopes from queries

Borchmann D., Hanika T., Объедков С. А., Discrete Applied Mathematics 2020 Vol. 273 P. 30–42

Добавлено: 29 октября 2019 г.

Learning Implications from Data and from Queries

Объедков С. А., , in: Formal Concept Analysis. ICFCA 2019.: Springer, 2019. P. 32–44.

Добавлено: 29 октября 2019 г.

Formal Concept Analysis. ICFCA 2019

Springer, 2019.

Добавлено: 29 октября 2019 г.

Metric Generalization and Modification of Classification Algorithms Based on Formal Concept Analysis

Evgeny Kolmakov, , in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2014)Vol. 1257.: Prague: CEUR Workshop Proceedings, 2014. P. 43–50.

Добавлено: 5 декабря 2018 г.

Metric Generalization and Modification of Classification Algorithms Based on Formal Concept Analysis

Kolmakov E.A., Computational Mathematics and Modeling 2015 Vol. 26 No. 4 P. 566–576

Добавлено: 5 декабря 2018 г.

New Reality in Clinical Informatics and Explanation-oriented Methods of Data Analysis

Alexey Neznanov, , in: Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017)Issue 6.: EasyChair, 2018. P. 43–47.

Добавлено: 28 октября 2018 г.