Prodotti della ricerca


Professore di Economia Politica
Prorettore Delegato per la ricerca scientifica, i rapporti istituzionali e l’innovazione

Blog personale:

Titolo: A Filter-Based Evolutionary Approach for Selecting Features in High-Dimensional Micro-array Data
Data di pubblicazione: 2010
Abstract: Evolutionary algorithms have received much attention in extracting knowledge on high-dimensional micro-array data, being crucial to their success a suitable definition of the search space of the potential solutions. In this paper, we present an evolutionary approach for selecting informative genes (features) to predict and diagnose cancer. We propose a procedure that combines results of filter methods, which are commonly used in the field of data mining, to reduce the search space where a genetic algorithm looks for solutions (i.e. gene subsets) with better classification performance, being the quality (fitness) of each solution evaluated by a classification method. The methodology is quite general because any classification algorithm could be incorporated as well a variety of filter methods. Extensive experiments on a public micro-array dataset are presented using four popular filter methods and SVM.
ISBN: 978-3-642-16326-5
Tipologia:4.1 Contributo in Atti di convegno

File in questo prodotto:
Non ci sono file associati a questo prodotto.
credits | accessibilità Università degli Studi di Cagliari
C.F.: 80019600925 - P.I.: 00443370929
note legali | privacy

Nascondi la toolbar