ISCAS OpenIR
基于动态项集计数的加权频繁项集算法
Alternative Titleweighted frequent itemset algorithm based on dynamic itemset counting
秦丽君; 罗雄飞
2012
SourceComputer Engineering
ISSN1000-3428
Volume38Issue:3Pages:31-33
English Abstract基于Apriori的加权频繁项集挖掘算法存在扫描数据集次数多的问题。为此,提出一种基于动态项集计数的加权频繁项集算法。该算法采用权值键树的数据结 构和动态项集计数的方法,满足向下闭合特性,并且动态生成候选频繁项集,从而减少扫描数据集的次数。实验结果证明,该算法生成的加权频繁项集具有较高的效 率和时间性能。
Indexed Typecscd,cnki,wanfang
AbstractThe existing weighted frequent itemset mining algorithms which are based on Apriori require multiple dataset scans.This paper proposes a weighted frequent itemset algorithm weighted frequent itemset mining based on dynamic itemset counting which uses the structure of weighted trie tree and the method of dynamic itemset counting.This algorithm satisfies the downward closure property and dynamically generates candidate frequent itemsets,thereby reduces the number of scanning datasets and improves the performance.Experimental results show that the proposed algorithm not only generates the weighted frequent itemsets,but also has high efficiency and time performance.
KeywordData Mining Weighted Frequent Itemset Mining Dynamic Itemset Counting Weighted Support Degree Weighted Trie Tree Downward Closure Property Maximum Weight
Department秦丽君, 中国科学院软件研究所, 北京 100190, 中国. 罗雄飞, 中国科学院软件研究所, 北京 100190, 中国.
SubjectComputer Science
Language中文
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/14674
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
秦丽君,罗雄飞. 基于动态项集计数的加权频繁项集算法[J]. Computer Engineering,2012,38(3):31-33.
APA 秦丽君,&罗雄飞.(2012).基于动态项集计数的加权频繁项集算法.Computer Engineering,38(3),31-33.
MLA 秦丽君,et al."基于动态项集计数的加权频繁项集算法".Computer Engineering 38.3(2012):31-33.
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