NDLI: The research of an improved information gain method using distribution information of terms

Content Provider	IEEE Xplore Digital Library
Author	Yang Yu-zhen Liu Pei-yu Zhu Zhen-fang Qiu Ye
Copyright Year	2009
Description	Author affiliation: Department of Information Science and Engineering, Shandong Normal University, Ji'nan 250014, China (Yang Yu-zhen; Liu Pei-yu; Zhu Zhen-fang; Qiu Ye)
Abstract	The inadequacy of the information gain is taken into account the situation that the term does not appear. But, in this paper, by analyzing the distribution information of terms, we find if the value of Distribution Information inside a Class of the term becomes large, the distribution of the term inclines to imbalance, and if there is high imbalance of the term, the Distribution Information among Classes will tend to a smaller value. Therefore, the Distribution Information inside a Class and Distribution Information among Classes are introduced to this paper to reduce the effect of the term does not appear, and improve the traditional information gain. After experimental verification, the improved algorithm (GDI) has a better performance than traditional feature selection algorithm in some fields, such as the Information Gain.
Starting Page	938
Ending Page	941
File Size	83078
Page Count	4
File Format	PDF
ISBN	9781424439287
DOI	10.1109/ITIME.2009.5236210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Information science Text categorization Performance gain Gain measurement Frequency Entropy Mutual information Information analysis
Content Type	Text
Resource Type	Article

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