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

Language: English

Published by LAP Lambert Academic Publishing, 2019

6200284431 / 9786200284433

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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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Title
A quantum particle swarm optimization approach for feature selection : Metaheuristics in Data classification, Datamining
Author
Benkhaled Sihem
Publisher
LAP Lambert Academic Publishing
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6200284431
ISBN 13
9786200284433
Item weight
131 grams
Dimensions
220x150x33 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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