Association Rule Evaluation
Association Rule Evaluation is a methodological framework within pattern evaluation that assesses the quality, significance, and usefulness of association rules derived from transactional datasets based on metrics such as support, confidence, lift, and conviction.
300
Publications
17.6K
Citations
795
Authors
372
Institutions
Publications per year
2017–2026
79
Parents
300
Fast discovery of association rules
Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant et al. · Knowledge Discovery and Data Mining · 1996 · 2.3K citations
CPAR: Classification based on Predictive Association Rules
Xiaoxin Yin, Jiawei Han · 2003 · 820 citations · Full text
Generating non-redundant association rules
Mohammed J. Zaki · 2000 · 487 citations
Mining Non-Redundant Association Rules
Mohammed J. Zaki · Data Mining and Knowledge Discovery · 2004 · 392 citations
1–5 of 300
795
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Centre National de la Recherche Scientifique, France
5 publications · 129 citations
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5
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5
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1–5 of 795
372

Universidad de Granada
Granada, Spain
8 h-index
26 publications
2.2K citations
University of Córdoba
Córdoba, Spain
7 h-index
23 publications
836 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
14 publications
735 citations

Monash University
Melbourne, Australia
5 h-index
8 publications
415 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
5 h-index
15 publications
1.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
9 publications
399 citations
Taipei Tzu Chi Hospital
Taipei, Taiwan
4 h-index
25 publications
718 citations

Taipei Veterans General Hospital
Taipei, Taiwan
4 h-index
20 publications
1.4K citations
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14 publications · 648 citations
13
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9 publications · 390 citations
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8 publications · 355 citations
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7 publications · 229 citations
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IDA · 5 publications · 301 citations
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