Using OWA operators for gene sequential pattern clustering

Jordi Nin, Paola Salle, Sandra Bringay, Maguelonne Teisseire

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

3 Cites (Scopus)

Resum

Nowadays, the management of sequential patterns data becomes an increasing need in biological knowledge discovery processes. An important task in these processes is the restitution of the results obtained by using data mining methods. In a complex domain as biomedical, an efficient interpretation of the patterns without any assistance is difficult. One of the most common knowledge discovery proces is clustering. But the application of clustering to gene sequential patterns is far from easy on biomedical data.In this paper, we introduce a new gene sequential patterns similarity function and summarization algorithm.

Idioma originalAnglès
Títol de la publicació2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
DOIs
Estat de la publicacióPublicada - 2009
Publicat externament
Esdeveniment2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM, United States
Durada: 2 d’ag. 20095 d’ag. 2009

Sèrie de publicacions

NomProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (imprès)1063-7125

Conferència

Conferència2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
País/TerritoriUnited States
CiutatAlbuquerque, NM
Període2/08/095/08/09

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