DocumentCode
1990190
Title
Improved Method of Feature Selection Based on Information Gain
Author
Li Wei-qiang ; Wang Xiao-feng
Author_Institution
Coll. of Inf. Eng., Shang Hai Maritime Univ., Shang Hai, China
fYear
2012
fDate
27-30 May 2012
Firstpage
1
Lastpage
4
Abstract
Feature selection is an essential part of text categorization, which can effectively improve classification precision and efficiency. With some drawbacks proposed from traditional IG approach, an optimized approach that takes concentration and distribution into account is proposed for improving IG approach. The experimental results show that the improved IG approach is superior to traditional IG approach in feature selection.
Keywords
classification; text analysis; classification precision; feature selection; information gain; text categorization; Accuracy; Educational institutions; Entropy; Information entropy; Random variables; Text categorization; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location
Xian
Print_ISBN
978-1-4577-1965-3
Type
conf
DOI
10.1109/SCET.2012.6342005
Filename
6342005
Link To Document