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Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing

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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https://hal.archives-ouvertes.fr/hal-01188637
Contributor : Aleksey Buzmakov Connect in order to contact the contributor
Submitted on : Monday, August 31, 2015 - 12:13:50 PM
Last modification on : Saturday, October 16, 2021 - 11:26:07 AM

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Mehdi Kaytoue, Victor Codocedo, Aleksey Buzmakov, Jaume Baixeries, Sergei 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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