| 多层次模糊关联规则挖掘算法 |
| |
| 引用本文： | 崔新春,韩莉莉. 多层次模糊关联规则挖掘算法[J]. 计算机工程与应用, 2004, 40(10): 187-189 |
| |
| 作者姓名： | 崔新春 韩莉莉 |
| |
| 作者单位： | 曲阜师范大学信息技术学院,山东,日照,276826;曲阜师范大学运筹与管理学院,山东,日照,276826 |
| |
| 基金项目： | 曲阜师范大学青年科研基金(编号:XJ02057) |
| |
| 摘 要： | 该文将模糊技术和概念分层应用到关联规则的挖掘中,提出了多层次模糊关联规则挖掘算法。并且以Food-Mark2000数据库为实验对象,对该算法的性能进行分析,实验结果表明该算法具有较好的执行效率和较好的可扩展性,适合于对大型数据库进行挖掘。
|
| 关 键 词： | 数据挖掘 多层次 模糊关联规则 |
| 文章编号： | 1002-8331-(2004)10-0187-03 |
An Efficient Algorithm of Mining Multi-Level Fuzzy Association Rules |
| |
| Cui Xinchun Han Lili. An Efficient Algorithm of Mining Multi-Level Fuzzy Association Rules[J]. Computer Engineering and Applications, 2004, 40(10): 187-189 |
| |
| Authors: | Cui Xinchun Han Lili |
| |
| Affiliation: | Cui Xinchun 1 Han Lili 21 |
| |
| Abstract: | In order to find more interesting association rules,technology of fuzzy logic and concept hierarchy are intro-duced,and algorithms of mining multi-level fuzzy association rules are proposed.Based on database FoodMark2000,We have developed an experimental system to study the performance of the two algorithms.Experiments show that the algo-rithm has high performance especially on large scale database. |
| |
| Keywords: | data mining concept hierarchy fuzzy association rules |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
