| 基于模糊理论的量化关联规则挖掘算法 |
| |
| 引用本文： | 赵纪涛,姜保庆. 基于模糊理论的量化关联规则挖掘算法[J]. 现代计算机, 2007, 0(10): 4-6,22 |
| |
| 作者姓名： | 赵纪涛 姜保庆 |
| |
| 作者单位： | 河南大学数据与知识工程研究所,开封475001 |
| |
| 基金项目： | 国家自然科学基金，河南省高校杰出科研创新人才工程项目 |
| |
| 摘 要： | 提出一种基于模糊理论的关联规则挖掘方法来处理数量属性,模糊理论能够实现数据的平滑过渡,使得挖掘出的关联规则具有高度的可理解性,给出了模糊关联规则的形式定义和挖掘算法.
|
| 关 键 词： | 量化关联规则 模糊集 数据挖掘 |
| 修稿时间： | 2007-07-312007-09-04 |
Quantitative Association Rules Mining Algorithm Based on Fuzzy Theory |
| |
| ZHAO Ji-tao,JIANG Bao-qing. Quantitative Association Rules Mining Algorithm Based on Fuzzy Theory[J]. Modem Computer, 2007, 0(10): 4-6,22 |
| |
| Authors: | ZHAO Ji-tao JIANG Bao-qing |
| |
| Affiliation: | Institute of Data and Knowledge Engineering, Henan University, Kaifeng 475001 |
| |
| Abstract: | Introduces a new definition of quantitative association rules based on fuzzy set theory, using fuzzy set concept the discovery rides are more understandable to a human, fuzzy set handle numerical values better than existing methods because fuzzy sets soften the effect of sharp boundaries, presents a new algorithm for mining fuzzy association rules. |
| |
| Keywords: | Quantitative Association Rules Fuzzy Set Data Mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
