An efficient global optimization approach for rough set based dimensionality reduction

	An efficient global optimization approach for rough set based dimensionality reduction
	Tan, Songbo; Cheng, Xueqi; Xu, Hongbo
	2007-06-01
发表期刊	INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
ISSN	1349-4198
卷号	3 期号:3 页码:725-736
摘要	The theory of rough set, proposed by Pawlak, provides a formal tool for knowledge discovery from imprecise and incomplete data. Dimensionality reduction (RED) is a crucial problem for rough set based data mining. Unfortunately, it proves to be a NP-hard problem. Many reduction algorithms based on heuristic information have been developed, but they are all based on Boolean space {0,1}(m). In this paper, we introduce the Universal RED problem model, or UniRED, which transforms the discrete attributes reduction problems on Boolean space {0,1}(m) into continuous global optimization problems on real space E-m. Based on this transformation, we develop coordinate gradient descent algorithm RED2.1, and coordinate direct descent algorithm RED3.1 for attributes reduction problems. In order to investigate the robustness and efficiency of proposed algorithms, we execute our algorithm RED3.1 on problems from UCI. Meanwhile, the comparison between algorithm RED3.1 and other famous reduct algorithms, such as dynamical reduct algorithm and genetic reduct algorithm, is presented. The experimental results indicate the robustness and efficiency of our algorithms.
关键词	rough set dimensionality reduction information processing knowledge discovery
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence
WOS记录号	WOS:000247493400020
出版者	ICIC INTERNATIONAL
引用统计	被引频次：31[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10838
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tan, Songbo
作者单位	Chinese Acad Sci, Inst Comp Technol, Intelligent Software Technol, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Tan, Songbo,Cheng, Xueqi,Xu, Hongbo. An efficient global optimization approach for rough set based dimensionality reduction[J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,2007,3(3):725-736.
APA	Tan, Songbo,Cheng, Xueqi,&Xu, Hongbo.(2007).An efficient global optimization approach for rough set based dimensionality reduction.INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,3(3),725-736.
MLA	Tan, Songbo,et al."An efficient global optimization approach for rough set based dimensionality reduction".INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 3.3(2007):725-736.