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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Conference papers
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https://hal.archives-ouvertes.fr/hal-01188637
Contributor : Aleksey Buzmakov <>
Submitted on : Monday, August 31, 2015 - 12:13:50 PM
Last modification on : Thursday, November 21, 2019 - 2:12:51 AM

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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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