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24 résultats
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triés par
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Как улучшить оценку множеств признаков с помощью принципа минимальной длины описанияRCAI-2018 - Russian Conference on Artificial Intelligence, Sep 2018, Moscou, Russia
Communication dans un congrès
hal-01889791v1
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Mint: MDL-based approach for Mining INTeresting Numerical Pattern SetsData Mining and Knowledge Discovery, 2022, 36 (1), pp.108--145. ⟨10.1007/s10618-021-00799-9⟩
Article dans une revue
hal-03437629v1
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Closure Structure: a Deeper InsightThe 8th International Workshop "What can FCA do for Artificial Intelligence?", Aug 2020, Santiago de Compostela, Spain
Communication dans un congrès
hal-03121356v1
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Introducing the closure structure and the GDPM algorithm for mining and understanding a tabular datasetInternational Journal of Approximate Reasoning, 2022, 145, pp.75-90. ⟨10.1016/j.ijar.2021.12.012⟩
Article dans une revue
hal-04057971v1
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On Entropy in Pattern MiningSFC 2019 - XXVIe Rencontres de la Société Francophone de Classification, Sep 2019, Nancy, France
Communication dans un congrès
hal-02193296v1
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Gradual Discovery with Closure Structure of a Concept LatticeThe 15th International Conference on Concept Lattices and Their Applications, Jun 2020, Tallinn, Estonia
Communication dans un congrès
hal-02915309v1
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Contributions to pattern set mining : from complex datasets to significant and useful pattern setsComputer Science [cs]. Université de Lorraine, 2021. English. ⟨NNT : 2021LORR0124⟩
Thèse
tel-03342124v1
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Mint: MDL-based approach for Mining INTeresting Numerical Pattern2020
Pré-publication, Document de travail
hal-03079884v1
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Discovery data topology with the closure structure. Theoretical and practical aspects2020
Pré-publication, Document de travail
hal-03079892v1
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MDL for FCA: is there a place for background knowledge?IJCAI ECAI 2018 - 6th International Workshop "What can FCA do for Artificial Intelligence?", Jul 2018, Stockholm, Sweden
Communication dans un congrès
hal-01888440v1
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Майнинг множеств признаков на основе сжатия: вероятностный подходProceedings of the 17th Russian Conference on Artificial Intelligence, Russian Association of Artificial Intelligence; Institute of Control Sciences Academician VA Trapeznikov; Ulyanovsk State Technical University; Federal Research Center “Computer Science and Control”, Oct 2019, Ulyanovsk, Russia. pp.164-172
Communication dans un congrès
hal-02192794v1
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From-Below Boolean Matrix Factorization Algorithm Based on MDLAdvances in Data Analysis and Classification, 2020, ⟨10.1007/s11634-019-00383-6⟩
Article dans une revue
hal-02162930v1
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Linked Open Data Validity -- A Technical Report from ISWS 20182019
Pré-publication, Document de travail
hal-02087112v1
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Likely-Occurring Itemsets for Pattern MiningFCA4AI 2021 - 9th Workshop on What can FCA do for Artificial Intelligence?, Aug 2021, Montréal/Online, Canada
Communication dans un congrès
hal-03437638v1
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The Application of MDL in the Mining of Numerical DataThe Russian-French seminar on Big Data applications, Oct 2018, Paris, France
Communication dans un congrès
hal-02162932v1
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On Coupling FCA and MDL in Pattern MiningICFCA 2019 - 15th International Conference on Formal Concept Analysis, Jun 2019, Frankfurt, Germany. pp.332-340
Communication dans un congrès
hal-02162928v1
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Numerical Pattern Mining Through CompressionDCC 2019 - 2019 Data Compression Conference, Mar 2019, Snowbird, United States. pp.112-121, ⟨10.1109/DCC.2019.00019⟩
Communication dans un congrès
hal-02162927v2
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Information Retrieval Chatbots Based on Conceptual ModelsInformation Retrieval Chatbots Based on Conceptual Models, pp.230-238, 2019
Chapitre d'ouvrage
hal-02169175v1
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Exploring the Dataset Structure by Means of Delta-Classes of Equivalence. The Case of the Titanic DatasetFCA4AI 2021 - 9th Workshop on What can FCA do for Artificial Intelligence?, Aug 2021, Montréal/Online, Canada
Communication dans un congrès
hal-03437634v1
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A Study of Boolean Matrix Factorization Under Supervised SettingsICFCA 2019 - 15th International Conference on Formal Concept Analysis, Jun 2019, Frankfurt, Germany. pp.341-348, ⟨10.1007/978-3-030-21462-3_24⟩
Communication dans un congrès
hal-02162929v2
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What MDL can bring to Pattern MiningISWS 2018 - International Semantic Web Research Summer School, Jul 2018, Bertinoro, Italy
Poster de conférence
hal-01889792v1
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On compression, learning & searching regularity in big data13es journées scientifiques, Mar 2019, Toulon, France
Communication dans un congrès
hal-02162931v1
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A First Study on What MDL Can Do for FCACLA 2018 - The 14th International Conference on Concept Lattices and Their Applications, Jun 2018, Olomouc, Czech Republic
Communication dans un congrès
hal-01888453v1
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Adaptive Multi-model Approaches to Pattern Set MiningEuropean Starting AI Researchers' Symposium 2020, Aug 2020, Santiago Compostela, Spain
Communication dans un congrès
hal-02953084v1
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