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

Benkhaled Sihem

ISBN 10: 6200284431 / ISBN 13: 9786200284433

Published by LAP Lambert Academic Publishing, 2019

About this Item

A quantum particle swarm optimization approach for feature selection | Metaheuristics in Data classification, Datamining | Benkhaled Sihem | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9786200284433 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 117440372

Bibliographic Details

• Title: A quantum particle swarm optimization approach for feature selection | Metaheuristics in Data classification, Datamining
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200284431
• ISBN 13: 9786200284433
• Binding: Taschenbuch
• Condition: Neu
• Seller catalogs:
  • Bücher

About this title

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.