| 多层次模糊关联规则挖掘算法 |
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| 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. |
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| 作者姓名： | 崔新春 韩莉莉 |
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| 作者单位： | 1. 曲阜师范大学信息技术学院,山东,日照,276826
2. 曲阜师范大学运筹与管理学院,山东,日照,276826 |
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| 基金项目： | 曲阜师范大学青年科研基金(编号:XJ02057) |
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| 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。
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| 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 |
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| Cui Xinchun,Han Lili.An Efficient Algorithm of Mining Multi-Level Fuzzy Association Rules[J].Computer Engineering and Applications,2004,40(10):187-189. |
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| Authors: | Cui Xinchun Han Lili |
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| Affiliation: | Cui Xinchun 1 Han Lili 21 |
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| 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. |
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| 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！ |
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