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Symbolic Data Analysis and Formal Concept Analysis

Abstract : Formal concept analysis (FCA) can be used for designing concept lattices from binary data for knowledge discovery purposes. Pattern structures in FCA are able to deal with complex data. In addition, this formalism provides a concise and an efficient algorithmic view of the formalism of symbolic data analysis (SDA)
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Submitted on : Wednesday, November 30, 2011 - 12:28:45 AM
Last modification on : Saturday, June 25, 2022 - 7:41:27 PM
Long-term archiving on: : Friday, November 16, 2012 - 12:26:10 PM


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  • HAL Id : hal-00646457, version 1


Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Géraldine Polaillon. Symbolic Data Analysis and Formal Concept Analysis. XVIIIeme Rencontres de la Société Francophone de Classification - SFC 2011, MAPMO - LIFO Orléans, Sep 2011, Orléans, France. ⟨hal-00646457⟩



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