一种基于序列号的定位顺序挖掘算法

G. Fang, Hong Ying, Jiang Xiong, Yong-Jian Zhao
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引用次数: 1

摘要

目前,现有的关联规则挖掘算法存在冗余候选频繁项集和重复计算的问题。提出了一种基于序号的定位顺序挖掘算法,该算法适用于长频繁项集的挖掘。为了快速搜索长频繁项集,该算法在采用传统的下向搜索的基础上,采用了子集定位顺序的方法生成候选频繁项集。它与传统的下向搜索挖掘算法有两个不同之处。一是算法需要通过向下搜索来确定非频繁项集子集的顺序。二是利用属性序列号的特征来计算只扫描数据库一次的支持度。该算法通过定位子集的顺序,可以有效地删除由(L+1)-非频繁项集生成的重复L候选频繁项集,提高了算法的效率。实验结果表明,该算法适用于长频繁项集的挖掘,比现有的长频繁项集挖掘算法更快、效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An algorithm of locating order mining based on sequence number
At present, existing association rules mining algorithms have redundant candidate frequent itemsets and repeated computing. This paper proposes an algorithm of locating order mining based on sequence number, which is suitable for mining long frequent itemsets. In order to fast search long frequent itemsets, the algorithm adopts not only traditional down search, but also the method of locating order of subset to generate candidate frequent itemsets. It has two aspects, which are different from traditional down search mining algorithm. One is that the algorithm need locate order of subsets of non frequent itemsets via down search. The other is that the algorithm uses character of attribute sequence number to compute support for only scanning database once. The algorithm may efficiently delete repeated L-candidate frequent itemsets generated by (L+1)-non frequent itemsets via locating subsets' order, whose efficiency is improved. The result of experiment indicates that the algorithm is suitable for mining long frequent itemsets, and it is faster and more efficient than present algorithms of mining long frequent itemsets.
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