Multilevel Frequent Pattern Mining
Multilevel Frequent Pattern Mining is a data mining methodology that discovers frequent patterns across multiple levels of abstraction in a hierarchically organized dataset, distinguishing itself from flat-level frequent pattern mining by incorporating concept hierarchies to capture itemset relationships at varying degrees of generalization.
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2017–2026
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Frequent pattern mining: current status and future directions
Jiawei Han, Hong Cheng, Dong Xin et al. · Data Mining and Knowledge Discovery · 2007 · 1.4K citations · Full text
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Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
2 h-index
3 publications
87 citations
Beijing Jiaotong University
Beijing, China
2 h-index
4 publications
86 citations

Beihang University
Beijing, China
2 h-index
4 publications
124 citations

Vietnam National University Ho Chi Minh City
Ho Chi Minh City, Vietnam
2 h-index
4 publications
106 citations
Ho Chi Minh City International University
Ho Chi Minh City, Vietnam
2 h-index
2 publications
56 citations
HUTECH University
Ho Chi Minh City, Vietnam
2 h-index
3 publications
87 citations
PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH
Coimbatore, India
1 h-index
3 publications
69 citations

Maulana Azad National Institute of Technology
Bhopal, India
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1 publications
13 citations
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