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Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing

Mehdi Kaytoue 1 Victor Codocedo 1 Aleksey Buzmakov 2 Jaume Baixeries 3 Sergei O. Kuznetsov 4 Amedeo Napoli 2 
1 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : This article aims at presenting recent advances in Formal Concept Analysis (2010-2015), especially when the question is dealing with complex data (numbers, graphs, sequences, etc.) in domains such as databases (functional dependencies), data-mining (local pattern discovery), information retrieval and information fusion. As these advances are mainly published in artificial intelligence and FCA dedicated venues, a dissemination towards data mining and machine learning is worthwhile.
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Conference papers
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Contributor : Aleksey Buzmakov Connect in order to contact the contributor
Submitted on : Monday, August 31, 2015 - 12:13:50 PM
Last modification on : Tuesday, October 25, 2022 - 4:18:04 PM

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Mehdi Kaytoue, Victor Codocedo, Aleksey Buzmakov, Jaume Baixeries, Sergei O. Kuznetsov, et al.. Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing. Machine Learning and Knowledge Discovery in Databases - European Conference, ECMLPKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings., 2015, Porto, Portugal. pp.227-231, ⟨10.1007/978-3-319-23461-8_19⟩. ⟨hal-01188637⟩



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