Frequent Pattern Evaluation
Frequent Pattern Evaluation is a methodological framework within pattern evaluation that specifically assesses the significance, validity, and utility of recurring structures or itemsets in data by measuring their frequency, support, and relevance relative to a given threshold or domain context.
88
Publications
4.8K
Citations
266
Authors
116
Institutions
Publications per year
2017–2026
18
Parents
88
EFFICIENT IMPLEMENTATIONS OF APRIORI AND ECLAT
Christian Borgelt · 2003 · 384 citations
Template detection via data mining and its applications
Ziv Bar-Yossef, Sridhar Rajagopalan · 2002 · 271 citations
1–5 of 88
266
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Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes, France
2 publications · 135 citations
2
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2
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2
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2
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1–5 of 266
116
Simon Fraser University
Burnaby, Canada
3 h-index
14 publications
690 citations
The Ohio State University
Columbus, United States
3 h-index
6 publications
170 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
2 h-index
4 publications
46 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
376 citations

Budapest University of Technology and Economics
Budapest, Hungary
2 h-index
2 publications
95 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
297 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
2 h-index
2 publications
429 citations
University of Technology Sydney
Sydney, Australia
2 h-index
4 publications
60 citations
1–8 of 116
3 publications · 207 citations
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3 publications · 209 citations
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2 publications · 73 citations
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2 publications · 116 citations
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Repository · 2 publications · 37 citations
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