Algorithm Research & Explore
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1022-1025,1030

Study on DTRS attribute reduction constrained by cost-sensitive and classification quality

Chen Wanqing
Qin Liangxi
School of Computer, Electronics & Information, Guangxi University, Nanning 530004, China

Abstract

Aiming at the low precision problem while the cost was introduced into attribute reduction of decision-theoretic rough set, this paper studied the balance between the total cost and the precision in classification. It used the total cost of the classification and the approximate classification quality as the constrained criteria in the attribute reduction procedure, combined with simulated annealing method, and proposed a DTRS attribute reduction algorithm constrained by cost-sensitive and classification quality(hereinafter referred as ARACOQ). It carried out the simulation experiments by using UCI data set. The results verify the effectiveness of the ARACOQ algorithm, which can find an attribute reduction set with the highest classification precision within the affordable cost range.

Foundation Support

国家自然科学基金资助项目(61363027)
广西重点研发计划资助项目(桂科AB16380260)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0973
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Algorithm Research & Explore
Pages: 1022-1025,1030
Serial Number: 1001-3695(2019)04-014-1022-04

Publish History

[2019-04-05] Printed Article

Cite This Article

陈婉清, 秦亮曦. 基于代价敏感和近似分类质量的决策粗糙集属性约简研究 [J]. 计算机应用研究, 2019, 36 (4): 1022-1025,1030. (Chen Wanqing, Qin Liangxi. Study on DTRS attribute reduction constrained by cost-sensitive and classification quality [J]. Application Research of Computers, 2019, 36 (4): 1022-1025,1030. )

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.

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