Information system attribute reduction parallel algorithm based on information entropy

doi:10.1007/978-3-642-31003-4_4

	Information system attribute reduction parallel algorithm based on information entropy
	Yang, Chunlin1 ; Zhang, Zhonglin 2; Zhang, Jun 2
	2012
会议名称	2nd International Conference on Future Control and Automation, ICFCA 2012
会议录名称	Lecture Notes in Electrical Engineering
卷号	173 LNEE
期号	VOL. 2
页码	27-34
会议日期	2012-07-01 - 2012-07-02
会议地点	Changsha, China
出版地	NEW YORK
出版者	Springer Verlag
摘要	Attribute reduction is an important treatment in information system. Classification is the base of attribute reduction, but it is inefficient to reduce attribute directly on a large data set. This paper put forward an attribute reduction parallel algorithm based on information entropy. The algorithm reduces attribute at the same time breakdowns original information system layer by layer, as a result, achieve attribute reduction parallel calculate and shrink the search space. © 2012 Springer-Verlag.
关键词	Automation Classification (of information) Information systems Information use Parallel algorithms Attribute reduction Information entropy Large datasets parallel calculate Search spaces System layer
DOI	10.1007/978-3-642-31003-4_4
收录类别	EI ; CPCI-S ; CPCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000393718100091
EI入藏号	20123715430155
原始文献类型	Proceedings Paper
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9802
专题	信息工程与人工智能学院
作者单位	1.School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou, China; 2.School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China
推荐引用方式 GB/T 7714	Yang, Chunlin,Zhang, Zhonglin,Zhang, Jun. Information system attribute reduction parallel algorithm based on information entropy[C]. NEW YORK:Springer Verlag,2012:27-34.