Weighted Frequent Pattern Mining
Weighted Frequent Pattern Mining is a specialized method within frequent pattern mining that identifies frequently occurring itemsets in transactional databases by incorporating item-specific weights to reflect their relative importance, thereby prioritizing patterns based on both occurrence frequency and significance.
103
Publications
4.5K
Citations
222
Authors
131
Institutions
Publications per year
2017–2026
32
Variants
Weighted Frequent Itemset Mining
Parents
103
Mining association rules with weighted items
Chun Hing Cai, A.W.-C. Fu, Wai-Chuen Kwong · 2002 · 405 citations
Efficient mining of weighted association rules (WAR)
Wei Wang, Jiong Yang, Philip S. Yu · 2000 · 232 citations · Full text
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Western Norway University of Applied Sciences, Norway
6 publications · 202 citations
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131

Sejong University
Seoul, South Korea
12 h-index
23 publications
934 citations
Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
9 h-index
11 publications
266 citations

Chungbuk National University
Cheongju-si, South Korea
7 h-index
9 publications
375 citations

National University of Kaohsiung
Kaohsiung City, Taiwan
6 h-index
6 publications
188 citations

Vietnam National University Ho Chi Minh City
Ho Chi Minh City, Vietnam
6 h-index
9 publications
268 citations

National Sun Yat-sen University
Kaohsiung City, Taiwan
6 h-index
6 publications
188 citations
University of Dhaka
Dhaka, Bangladesh
5 h-index
12 publications
579 citations
HUTECH University
Ho Chi Minh City, Vietnam
5 h-index
7 publications
164 citations
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12 publications · 701 citations
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8 publications · 253 citations
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6 publications · 243 citations
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5 publications · 255 citations
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4 publications · 68 citations
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