Association mining

被引：141

作者：

Ceglar, Aaron ^{[1
]}

Roddick, John F. ^{[1
]}

机构：

[1] Flinders Univ S Australia, Sch Informat & Engn, Adelaide, SA 5001, Australia

来源：

ACM COMPUTING SURVEYS | 2006年 / 38卷 / 02期

关键词：

algorithms; data mining; association mining;

D O I：

10.1145/1132956/1132958

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The task of finding correlations between items in a dataset, association mining, has received considerable attention over the last decade. This article presents a survey of association mining fundamentals, detailing the evolution of association mining algorithms from the seminal to the state-of-the-art. This survey focuses on the fundamental principles of association mining, that is, itemset identification, rule generation, and their generic optimizations.

引用

页数：42

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