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Feature Selection in High Dimensional Data Using Metaheuristic

Language EnglishEnglish
Book Paperback
Book Feature Selection in High Dimensional Data Using Metaheuristic Haider Banka
Libristo code: 15867514
Publishers LAP Lambert Academic Publishing, November 2016
This books covers a state of the art literature on classical feature selection problem using some of... Full description
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This books covers a state of the art literature on classical feature selection problem using some of the most recently developed methods. The feature selection problem has been investigated with great detail particularly in high dimensional space. The whole book consists of 7seven chapters covering many soft computing techniques such as PSO, GA, NSGA-II, ACO and others to deal with the feature selection problem. We hope that this edition will be more beneficial to all beginners, researchers and experts as well.

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About the book

Full name Feature Selection in High Dimensional Data Using Metaheuristic
Author Haider Banka, Suresh Dara
Language English
Binding Book - Paperback
Date of issue 2017
Number of pages 124
EAN 9783330030633
Libristo code 15867514
Publishers LAP Lambert Academic Publishing
Weight 203
Dimensions 150 x 220 x 7

Categories

Technology, Engineering, Agriculture > Technology: general issues
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