| 一种基于Apriori的关联规则的改进算法的研究 |
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| 引用本文： | 刘娟娟,刘建平.一种基于Apriori的关联规则的改进算法的研究[J].工业控制计算机,2012,25(6):82-82,85. |
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| 作者姓名： | 刘娟娟 刘建平 |
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| 作者单位： | 浙江理工大学信息电子学院,浙江杭州,310018 |
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| 摘 要： | Apriori算法是关联规则的经典算法,并己经被越来越多的企业使用。它在给企业带来经济效益的同时,也让人们意识到算法自身的不足:第一,该算法在扫描事务数据库的次数过多,从而需要承担很大的I/O负载;第二,它可能产生庞大的候选集。为了提高Apriori算法的效率,针对减少扫描事务数据库次数的方法,提出一种改进挖掘效率的算法。
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| 关 键 词： | Apriori 关联规则 数据挖掘 |
An Improved Lgorithm for Mining Association Rules Based on Apriori Algorithm |
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| Affiliation: | Liu Juanjuan et al |
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| Abstract: | Apriori algorithm brings to the enterprise economic benefits,and also makes people aware of the algorithm deficiencies： firstly,when applying to scan the transaction database,the algorithm costs so much times that results in a lot of I/O spending;secondly, it can produce huge candidate set.In order to improve the efficiency of the Apriori algorithm, this pa- per puts forward to an improved Apriori algorithm with higher mining efficiency according to reduce I/O spending. |
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| Keywords: | apriori algorithm association rule data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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