A Proposition for Combining Pattern Structures and Relational Concept Analysis - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

A Proposition for Combining Pattern Structures and Relational Concept Analysis

Victor Codocedo
Amedeo Napoli

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.
Fichier principal
Vignette du fichier
cona_icfca14.pdf (373.75 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01095870 , version 1 (16-12-2014)

Identifiers

Cite

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⟩
196 View
302 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More