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

共 84 条

[71]

Toivonen H, 1996, PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON VERY LARGE DATA BASES, P134

[72]

Toivonen H., 1995, P MLNET WORKSH STAT, P47

[73]

WANG J, 2003, P 9 ACM SIGKDD INT C, P236

[74]

WANG K, 2002, P 6 PAC AS C KNOWL D, V2336, P334

[75]

Yen SJ, 1996, PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED INFORMATION SYSTEMS, P8, DOI 10.1109/PDIS.1996.568663

[76]

ZAIANE OR, 2003, P IEEE ICDM WORKSH F

[77] Scalable algorithms for association mining [J].

Zaki, MJ .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2000, 12 (03) :372-390

[78] Mining non-redundant association rules [J].

Zaki, MJ .

DATA MINING AND KNOWLEDGE DISCOVERY, 2004, 9 (03) :223-248

[79]

Zaki MJ, 2002, SIAM PROC S, P457

[80] SPADE: An efficient algorithm for mining frequent sequences [J].

Zaki, MJ .

MACHINE LEARNING, 2001, 42 (1-2) :31-60

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