中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An efficient global optimization approach for rough set based dimensionality reduction

文献类型:期刊论文

作者Tan, Songbo; Cheng, Xueqi; Xu, Hongbo
刊名INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
出版日期2007-06-01
卷号3期号:3页码:725-736
关键词rough set dimensionality reduction information processing knowledge discovery
ISSN号1349-4198
英文摘要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.
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000247493400020
出版者ICIC INTERNATIONAL
源URL[http://119.78.100.204/handle/2XEOYT63/10837]  
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.

入库方式: OAI收割

来源:计算技术研究所

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