A quantum particle swarm optimization approach for feature selection: Metaheuristics in Data classification, Datamining - Couverture souple

Sihem, Benkhaled

 
9786200284433: A quantum particle swarm optimization approach for feature selection: Metaheuristics in Data classification, Datamining
Couverture souple
ISBN 10 : 6200284431 ISBN 13 : 9786200284433
Editeur : LAP LAMBERT Academic Publishing, 2019

Synopsis

This book represent a feature selection approach. Feature selection is a pre-processing step that plays an important role in data mining, allowing it to search a reduced subset of features from a large set of features by eliminating redundant and irrelevant features for performing the supervised classification task, all trying to maintain or improve classifier performance. The search for a subset of features is an NP-difficult optimization problem that can be solved by metaheuristics; we have been interested in the metaheuristics resulting from the intelligence in swarms for the features selection.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2019
Langue
anglais
ISBN 10 
6200284431
ISBN 13 
9786200284433
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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