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.

引用

页码：570 / 594

页数：24