Artigo De: cienciavitae, dblp, scopus, orcid

A structured view on pattern mining-based biclustering

Pattern Recognition

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

Informações chave

Autores:

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

Publicado em

1 de dezembro de 2015

Resumo

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.

Detalhes da publicação

Autores da comunidade :

Versão da publicação

P - Versão editada

Editora

Pattern Recognit.

Ligação para a versão da editora

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

Título do contentor da publicação

Pattern Recognition

Primeira página ou número de artigo

3941

Última página

3958

Volume

48

Fascículo

12

ISSN

0031-3203

DOI

10.1016/j.patcog.2015.06.018

Domínio Científico (FOS)

computer-and-information-sciences - Ciências da Computação e da Informação

Idioma da publicação (código ISO)

eng - Inglês

Identificador alternativo (URI)

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

Acesso à publicação:

Acesso apenas a metadados