| 模糊关联规则的挖掘算法 |
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| 引用本文： | 高雅,马琳,戴齐.模糊关联规则的挖掘算法[J].西南交通大学学报,2005,40(1):26-29. |
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| 作者姓名： | 高雅 马琳 戴齐 |
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| 作者单位： | 1. 西南交通大学计算机与通信工程学院,四川,成都,610031
2. 华北制药集团股份公司,河北,石家庄,050051 |
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| 摘 要： | 为了提高模糊关联规则挖掘的效率，定义了冗余模糊关联规则，并分析了强模糊关联规则的冗余性质，提出了通过删除冗余模糊关联规则提高挖掘效率的新算法．此外，针对利用支持度和蕴涵度定义的强模糊关联规则挖掘问题，将删除冗余模糊关联规则和不删除冗余模糊关联规则的计算结果与实验结果进行了比较．结果表明，当数据库中项目数较多时，删除冗余模糊关联规则能提高挖掘效率．
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| 关 键 词： | 数据挖掘 关联规则 模糊蕴涵 |
| 文章编号： | 0258-2724(2005)01-0026-04 |
Algorithms of Mining Fuzzy Association Rules |
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| GAO Ya,MA Lin,DAI Qi.Algorithms of Mining Fuzzy Association Rules[J].Journal of Southwest Jiaotong University,2005,40(1):26-29. |
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| Authors: | GAO Ya MA Lin DAI Qi |
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| Institution: | GAO Ya~1,MA Lin~2,DAI Qi~1 |
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| Abstract: | To raise the mining efficiency of fuzzy association rules, a redundant fuzzy association rule was defined and the redundant properties of strong fuzzy association rules were analyzed. A new algorithm to raise the mining efficiency by removing redundant fuzzy association rules was proposed. In addition, results obtained by two algorithms, i.e., removing redundant fuzzy association rules or not, were compared respectively with experimental results for the mining of strong fuzzy association rules defined by support and implication degrees. The research result shows that the algorithm of removing redundant fuzzy association rules can raise the mining efficiency. |
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| Keywords: | data mining association rule fuzzy implication |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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