Attribute Selection with Genetic Algorithm

Bhupendra Kumar

ISBN 10: 365987163X / ISBN 13: 9783659871634

Verlag: LAP Lambert Academic Publishing Mai 2016, 2016

Beschreibung

Neuware -Feature selection is the first task of any learning approach to define a relevant set of features. Several methods are proposed to deal with the problem of feature selection including filter, wrapper and embedded methods. In this work, we focus on feature subset selection to select a minimally sized subset of optimal features. Feature Selection is optimization problem; genetic algorithm based attribute subset selection using naïve bayes classifier is used for this purpose. GABASS are found to be the best technique for selection purpose when there is very large population. The GABASS provides good results and their power lies in the good adaptation to the various and fast changing environments.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Bestandsnummer des Verkäufers 9783659871634

Bibliografische Details

• Titel: Attribute Selection with Genetic Algorithm
• Verlag: LAP Lambert Academic Publishing Mai 2016
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 365987163X
• ISBN-13: 9783659871634
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Feature selection is the first task of any learning approach to define a relevant set of features. Several methods are proposed to deal with the problem of feature selection including filter, wrapper and embedded methods. In this work, we focus on feature subset selection to select a minimally sized subset of optimal features. Feature Selection is optimization problem; genetic algorithm based attribute subset selection using naïve bayes classifier is used for this purpose. GABASS are found to be the best technique for selection purpose when there is very large population. The GABASS provides good results and their power lies in the good adaptation to the various and fast changing environments.