Attribute Selection with Genetic Algorithm: Genetic Algorithm Based Attributes Subset Selection Using Naive Bays Classifier - Softcover

Kumar, Bhupendra; Kumar, Somesh

Softcover

ISBN 10: 365987163X ISBN 13: 9783659871634

Publisher: LAP LAMBERT Academic Publishing, 2016

Synopsis

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 naļve 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.

About this title

About the Author

DR Somesh Kumar presently spearheads the IT department in NIET, Gr. Noida, India. He has completed his MCA in 2000, ME (CS&E) in 2006, PhD (CS) in 2011. Since 2000, he has been in teaching profession. Prof Bhupendra Kumar currently workimg in IT department in NIET,Gr. Noida,INDIA. He has been in teaching profession from 2010.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2016
• Language: English
• ISBN 10: 365987163X
• ISBN 13: 9783659871634
• Binding: Paperback
• Number of pages: 52