On Entropy in Pattern Mining

Tatiana Makhalova 1, 2 Sergei Kuznetsov 1 Amedeo Napoli 2
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : In this paper we consider different entropy-based approaches to Pattern Mining. We discuss how entropy on pattern sets can be defined and how it can be incorporated into different stages of mining, from computing candidates to interesting patterns to assessing quality of pattern sets.
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Tatiana Makhalova, Sergei Kuznetsov, Amedeo Napoli. On Entropy in Pattern Mining. SFC 2019 - XXVIe Rencontres de la Société Francophone de Classification, Sep 2019, Nancy, France. ⟨hal-02193296⟩

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