Closed Frequent Itemset Mining
Closed Frequent Itemset Mining is a pattern mining methodology that identifies maximal frequent itemsets under set inclusion, distinguishing itself from general frequent itemset mining by excluding all non-maximal itemsets that have the same support as their supersets.
178
Publications
14.3K
Citations
376
Authors
188
Institutions
Publications per year
2017–2026
35
Parents
178
CHARM: An Efficient Algorithm for Closed Itemset Mining
Mohammed J. Zaki, Ching-Jui Hsiao · 2002 · 901 citations
CLOSET : An Efficient Algorithm for Mining Frequent Closed Itemsets
Jian Pei · 2000 · 831 citations
1–5 of 178
376
11
h-index
11
h-index
10
h-index
9
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Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy
6 publications · 439 citations
6
h-index
1–5 of 376
188
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
31 publications
6.5K citations
Ho Chi Minh City University of Science
Ho Chi Minh City, Vietnam
11 h-index
13 publications
391 citations
Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
10 h-index
12 publications
438 citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
22 publications
650 citations

Vietnam National University Ho Chi Minh City
Ho Chi Minh City, Vietnam
8 h-index
9 publications
267 citations
National University of Singapore
Singapore, Singapore
7 h-index
19 publications
960 citations
Tsinghua University
Beijing, China
5 h-index
7 publications
418 citations
Ho Chi Minh City International University
Ho Chi Minh City, Vietnam
5 h-index
4 publications
156 citations
1–8 of 188
15 publications · 443 citations
14
h-index
TKDE · 9 publications · 1.9K citations
9
h-index
7 publications · 152 citations
7
h-index
6 publications · 177 citations
6
h-index
ICDM · 6 publications · 314 citations
6
h-index
1–5