Article In: cienciavitae, dblp, scopus, orcid

A structured view on pattern mining-based biclustering

Pattern Recognition

Rui Henriques; Cláudia Antunes; Sara C. Madeira — 2015 — Pattern Recognit.

Key information

Authors:

Rui Henriques (Rui Miguel Carrasqueiro Henriques); Cláudia Antunes (Claudia Martins Antunes); Sara C. Madeira (Sara Alexandra Cordeiro Madeira)

Published in

December 1, 2015

Abstract

Mining matrices to find relevant biclusters, subsets of rows exhibiting a coherent pattern over a subset of columns, is a critical task for a wide-set of biomedical and social applications. Since biclustering is a challenging combinatorial optimization task, existing approaches place restrictions on the allowed structure, coherence and quality of biclusters. Biclustering approaches relying on pattern mining (PM) allow an exhaustive yet efficient space exploration together with the possibility to discover flexible structures of biclusters with parameterizable coherency and noise-tolerance. Still, state-of-the-art contributions are dispersed and the potential of their integration remains unclear. This work proposes a structured and integrated view of the contributions of state-of-the-art PM-based biclustering approaches, makes available a set of principles for a guided definition of new PM-based biclustering approaches, and discusses their relevance for applications in pattern recognition. Empirical evidence shows that these principles guarantee the robustness, efficiency and flexibility of PM-based biclustering.

Publication details

Authors in the community:

Publication version

P - Proof

Publisher

Pattern Recognit.

Link to the publisher's version

https://www.sciencedirect.com/science/article/abs/pii/S003132031500240X?via%3Dihub

Title of the publication container

Pattern Recognition

First page or article number

3941

Last page

3958

Volume

48

Issue

12

ISSN

0031-3203

DOI

10.1016/j.patcog.2015.06.018

Fields of Science and Technology (FOS)

computer-and-information-sciences - Computer and information sciences

Publication language (ISO code)

eng - English

Alternative identifier (URI)

http://www.scopus.com/inward/record.url?eid=2-s2.0-84941418114&partnerID=MN8TOARS

Rights type:

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