A Method of Rough Set Based on the Attribute Oriented Induction and Relevance Analysis

摘要：

For certain database with huge data, such as marketing database, rule mining and knowledge acquisition could be a difficult problem. Aimed at this point, a new method is proposed. On the basis of data preprocessing, it uses the attribute-oriented induction and the attribute relevance analysis to generalize customer attributes and eliminate redundant attributes in these databases and to constitute a contracted decision-making information system. And then extracting valuable decision-making rules with the help of reduction method of decision rules in rough set theory. It has been proved to be with higher efficiency and great practical significance by the following example.

作者: Zeng Chunxi Yang Wenyi Yang Junbin Wang Xiaoqiang Wu Shunxiang

作者单位: Xiamen University, Xiamen, China, Fujian Province 361005 Xiamen University, Xiamen, China, 361005

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）