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A Proposition for Combining Pattern Structures and Relational Concept Analysis

Victor Codocedo 1 Amedeo Napoli 1 
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : In this paper we propose an adaptation of the RCA process enabling the relational scaling of pattern structures. In a nutshell, this adaptation allows the scenario where RCA needs to be applied in a relational context family com-posed by pattern structures instead of formal contexts. To achieve this we define the heterogeneous pattern structures as a model to describe objects in a com-bination of spaces, namely the original object description space and the set of relational attributes derived from the RCA scaling process. We frame our ap-proach in the problem of characterizing latent variables (LV) in a latent variable model of documents and terms. LVs are used as compact and improved dataset representations. We approach the problem of LV characterization missing from the original LV-model, through the application of the adapted RCA process using pattern structures. Finally, we discuss the implications of our proposition.
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Submitted on : Tuesday, December 16, 2014 - 1:56:44 PM
Last modification on : Thursday, August 4, 2022 - 5:18:45 PM
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Victor Codocedo, Amedeo Napoli. A Proposition for Combining Pattern Structures and Relational Concept Analysis. Formal Concept Analysis - 12th International Conference, ICFCA 2014, Cluj-Napoca, Romania, June 10-13, 2014. Proceedings, Jun 2014, Cluj-Napoca, Romania. pp.96 - 111, ⟨10.1007/978-3-319-07248-7_8⟩. ⟨hal-01095870⟩



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