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.
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页数：42
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