Bookcover of Attribute Selection with Genetic Algorithm
Booktitle:

Attribute Selection with Genetic Algorithm

Genetic Algorithm Based Attributes Subset Selection Using Naive Bays Classifier

LAP LAMBERT Academic Publishing (2016-04-21 )

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ISBN-13:

978-3-659-87163-4

ISBN-10:
365987163X
EAN:
9783659871634
Book language:
English
Blurb/Shorttext:
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.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Bhupendra Kumar, Somesh Kumar
Number of pages:
52
Published on:
2016-04-21
Stock:
Available
Category:
Informatics, IT
Price:
35.90 €
Keywords:
Data Mining, genetic algorithm, Naive base Classifier, Attribute Selection

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