Rare Itemset Mining
Rare Itemset Mining is a specialized form of frequent pattern mining that identifies itemsets occurring below a user-specified minimum support threshold, thereby capturing infrequent yet potentially insightful patterns in transactional datasets.
64
Publications
2.7K
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129
Authors
75
Institutions
Publications per year
2017–2026
16
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64
Empirical bayes screening for multi-item associations
William DuMouchel, Daryl Pregibon · 2001 · 269 citations
Philippe Fournier‐Viger, Jerry Chun‐Wei Lin, Bay Vo et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2017 · 228 citations
Computing, Data Science, Data Mining +11
Mining association rules on significant rare data using relative support
Hyunyoon Yun, Dan-Shim Ha, Bu-Hyun Hwang et al. · Journal of Systems and Software · 2003 · 161 citations
László Szathmáry, Amedeo Napoli, Petko Valtchev · 2007 · 140 citations · Full text
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Tezpur University
Tezpur, India
5 h-index
10 publications
324 citations
University of Córdoba
Córdoba, Spain
4 h-index
13 publications
627 citations
Politecnico di Torino
Turin, Italy
3 h-index
8 publications
367 citations
International Institute of Information Technology, Hyderabad
Hyderabad, India
3 h-index
5 publications
205 citations

Sejong University
Seoul, South Korea
3 h-index
7 publications
300 citations
Vellore Institute of Technology University
Vellore, India
2 h-index
2 publications
36 citations

Zagazig University
Zagazig, Egypt
2 h-index
7 publications
109 citations
University of Illinois Chicago
Chicago, United States
2 h-index
4 publications
136 citations
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Conference · 2 publications · 43 citations
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2 publications · 65 citations
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2 publications · 110 citations
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2 publications · 50 citations
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2 publications · 47 citations
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