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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zeng Chunxi Yang Wenyi Yang Junbin Wang Xiaoqiang Wu Shunxiang |
| Copyright Year | 2007 |
| Description | Author affiliation: Xiamen Univ., Xiamen (Zeng Chunxi; Yang Wenyi; Yang Junbin; Wang Xiaoqiang; Wu Shunxiang) |
| Abstract | 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. |
| Starting Page | 930 |
| Ending Page | 935 |
| File Size | 657481 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424412938 |
| DOI | 10.1109/GSIS.2007.4443409 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data analysis Decision making Data preprocessing Relational databases Control systems Set theory Data mining Intelligent systems Information systems Information analysis |
| Content Type | Text |
| Resource Type | Article |
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