| 关联规则挖掘最小支持度阀值设定的优化算法研究 |
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| 引用本文： | 蔡红,陈荣耀,陈波.关联规则挖掘最小支持度阀值设定的优化算法研究[J].微型电脑应用,2011,27(6):33-36,2. |
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| 作者姓名： | 蔡红 陈荣耀 陈波 |
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| 作者单位： | 1. 上海东华大学旭日工商管理学院,上海,200051
2. 中国电信集团公司上海分公司,上海,200120 |
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| 摘 要： | 为了解决在关联规则挖掘Apriori算法中最小支持度阀值设定较难或设定不适当的问题,基于事务普遍具有统计规律性的前提,设计了平均值调整优化的算法.为支持度和预选率划分不同区间,利用平均值进行最小支持度阀值的微调.对于不同分布特征的事务数据库,该方法比原先设定阀值都能取得更适中和更好的频繁项集结果,同时不会产生过大的性能...
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| 关 键 词： | 关联规则挖掘 最小支持度调整优化 标准偏差 |
Study on Optimized Method of Minimum Support for Association Rule Mining |
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| Cai Hong,Chen Rongyao,Chen Bo.Study on Optimized Method of Minimum Support for Association Rule Mining[J].Microcomputer Applications,2011,27(6):33-36,2. |
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| Authors: | Cai Hong Chen Rongyao Chen Bo |
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| Affiliation: | Cai Hong1,Chen Rongyao1,Chen Bo2(1.Glorious Sun School of Business and Management,Donghua University,Shanghai200051,China,2. China Telecom Corporation Limited Shanghai Branch,Shanghai 200120,China) |
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| Abstract: | In order to resolve problem of difficultly confirming minimum support or unsuitable minimum support in Apriori algorithm of association rulemining, this paper designs an average optimizing method of minimum support based on general statistics regularity. Dividing different interval for supportand rate of primary selection, it utilizes average value to optimize minimum support. For different distributed databases of transaction, this method cangain better result of frequent items than that of original suppor... |
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| Keywords: | Association Rule Mining Minimum Support Optimizing Standard Deviation |
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