Algorithm Research & Explore
|
2962-2964

Feature selection method combining improved CHI and weighted ECE

Cai Zhen
Gao Jian
Qin Xiaojun
Jiangnan Institute of Computing Technology, Wuxi Jiangsu 214083, China

Abstract

This paper analyzed the characteristics and deficiencies of chi-square statistics(CHI) and expected cross-entropy(ECE) methods for feature selection of text classification. In order to avoid the poor classification of traditional CHI and ECE methods on unbalanced data sets, this paper presented an improved CHI method(pCHI) by introducing adjustment factors and removing negative correlation influencing factors, and presented a weighted ECE method(ωECE) to compensate the disadvantages of the ECE method tending to select high-frequency features of weak distinguishing ability. After synthesizing the two improved methods, this paper further proposed a feature selection method based on combining improved CHI and weighted ECE(pCHIωECE). Through comparative experiments, the precision rate and F1 value of the pCHIωECE method are both superior to those of the CHI, ECE, pCHI and ωECE methods, and moreover, the dimensionality and stability of the method are better.

Foundation Support

国家自然科学基金资助项目(61732018)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0240
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Algorithm Research & Explore
Pages: 2962-2964
Serial Number: 1001-3695(2019)10-018-2962-03

Publish History

[2019-10-05] Printed Article

Cite This Article

蔡镇, 高健, 秦晓军. 基于改进CHI和带权ECE结合的特征选择方法 [J]. 计算机应用研究, 2019, 36 (10): 2962-2964. (Cai Zhen, Gao Jian, Qin Xiaojun. Feature selection method combining improved CHI and weighted ECE [J]. Application Research of Computers, 2019, 36 (10): 2962-2964. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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