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Order-preserving Biclustering Based on FCA and Pattern Structures

Nyoman Juniarta 1 Miguel Couceiro 1 Amedeo Napoli 1
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Biclustering is similar to formal concept analysis (FCA), whose objective is to retrieve all maximal rectangles in a binary matrix and arrange them in a concept lattice. FCA is generalized to more complex data using pattern structure. In this article, we explore the relation of biclustering and pattern structure. More precisely, we study the order-preserving biclusters, whose rows induce the same linear order across all columns.
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Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli. Order-preserving Biclustering Based on FCA and Pattern Structures. Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Giuseppe Manco; Elio Masciari; Zbigniew W. Ras. Complex Pattern Mining: New Challenges, Methods and Applications, Springer Series on Studies in Computational Intelligence, pp.47-62, 2019, 978-3-030-36617-9. ⟨10.1007/978-3-030-36617-9_4⟩. ⟨hal-02181585⟩

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