Text Feature Gene Extraction on Imbalanced Big Dataset

doi:10.3969/j.issn.1001-0548.2018.01.019

	Text Feature Gene Extraction on Imbalanced Big Dataset
	Sun, Jing-Tao 1; Zhang, Qiu-Yu 2
刊名	Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China
	2018-01-30
卷号	47 期号:1 页码:125-131
关键词	Extraction Feature extraction Genes Independent component analysis Large dataset Classification performance Feature selection methods Imbalance distributions Imbalanced big dataset Information entropy Multidimensional statistical data Statistical selection methods Text feature
ISSN号	10010548
DOI	10.3969/j.issn.1001-0548.2018.01.019
英文摘要	In the cases of imbalance big datasets, the traditional feature processing method is biased to the large class and ignores the small class, which affects the classification performance. So a text feature gene extraction method is proposed in this paper. First of all, considering the feature selection impact of imbalance distribution of sample categorization, a feature selection method based on the CHI statistical matrix combined with information entropy is used to strengthen the characteristics of the small class. Secondly, based on the high order correlation of multidimensional statistical data, the method of text feature extraction is designed to enhance the generalization ability of feature item. Finally, the two methods are combined to construct a new method of text feature extraction under unbalanced large datasets. The experimental results show that the proposed method has a better performance in early maturity and feature dimension reduction, and is far superior to the common feature selection algorithm in the classification ability of small classes. © 2018, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
语种	中文
出版者	Univ. of Electronic Science and Technology of China
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114429]
专题	计算机与通信学院
作者单位	1.School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an; 710121, China; 2.School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Sun, Jing-Tao,Zhang, Qiu-Yu. Text Feature Gene Extraction on Imbalanced Big Dataset[J]. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China,2018,47(1):125-131.
APA	Sun, Jing-Tao,&Zhang, Qiu-Yu.(2018).Text Feature Gene Extraction on Imbalanced Big Dataset.Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China,47(1),125-131.
MLA	Sun, Jing-Tao,et al."Text Feature Gene Extraction on Imbalanced Big Dataset".Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China 47.1(2018):125-131.