A hybrid framework for optimal feature subset selection

Author:

Shukla Alok Kumar1,Singh Pradeep1,Vardhan Manu1

Affiliation:

1. Department of Computer Science & Engineering, NIT Raipur, Chhattisgarh (C.G), India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference57 articles.

1. Hybrid framework using multiple-filters and an embedded approach for an efficient selection and classification of microarray data;Morales-caporal;IEEE/ACMTRANSACTIONS Comput Biol Bioinforma,2016

2. A top-rfeature selection algorithm for microarray gene expression data;Sharma;IEEE/ACM Trans Comput Biol Bioinform,2012

3. Gene selection from microarray data for cancer classification - A machine learning approach;Wang;Comput Biol Chem,2005

4. Feature Selection: An Ever Evolving Frontier in Data Mining;Liu;J Mach Learn Res Work ConfProc 10 Fourth Work Featur Sel Data Min,2010

5. Feature selection for classification;Dash;Intell Data Anal,1997

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