Mining Condensed Frequent-Pattern Bases

被引：0
|
作者：
Jian Pei
Guozhu Dong
Wei Zou
Jiawei Han
机构：
[1] State University of New York at Buffalo,Department of Computer Science and Engineering
[2] Wright State University,undefined
[3] University of Illinois at Urbana-Champaign,undefined
来源：
Knowledge and Information Systems | 2004年 / 6卷
关键词：
Frequent patterns; Frequent-pattern mining; Approximation; Compression;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Frequent-pattern mining has been studied extensively and has many useful applications. However, frequent-pattern mining often generates too many patterns to be truly efficient or effective. In many applications, it is sufficient to generate and examine frequent patterns with a sufficiently good approximation of the support frequency instead of in full precision. Such a compact but “close-enough” frequent-pattern base is called a condensed frequent-pattern base.
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页码：570 / 594
页数：24
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