Association Rule Mining
Association Rule Mining is a data mining technique that identifies strong relationships or co-occurrence patterns among variables in large datasets by discovering rules that express associations between itemsets, characterized by measures such as support and confidence.
4K
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268.1K
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8.7K
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Publications per year
2017–2026
1.1K
Variants
Association Analysis
4K
Mining association rules between sets of items in large databases
Rakesh Agrawal, Tomasz Imieliński, Arun Swami · 1993 · 14.8K citations · Full text
Fast algorithms for mining association rules
Rakesh Agrawal, Ramakrishnan Srikant · 1998 · 10.8K citations
Data Mining - Concepts and Techniques.
Petra Perner · Künstliche Intell. · 2002 · 4.9K citations
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Simon Fraser University
Burnaby, Canada
31 h-index
111 publications
18.2K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
28 h-index
99 publications
6.1K citations

National University of Kaohsiung
Kaohsiung City, Taiwan
26 h-index
63 publications
2.2K citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
25 h-index
69 publications
4.2K citations

Universidad de Granada
Granada, Spain
24 h-index
125 publications
8.2K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
23 h-index
54 publications
7.2K citations
National University of Singapore
Singapore, Singapore
22 h-index
68 publications
12.8K citations

Harbin Institute of Technology
Harbin, China
22 h-index
52 publications
4.1K citations
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104 publications · 6.3K citations
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TKDE · 56 publications · 11.9K citations
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45 publications · 2.5K citations
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42 publications · 2.6K citations
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39 publications · 2K citations
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