Conviction Measure
Conviction Measure is a probabilistic evaluation metric in pattern discovery that quantifies the difference between the observed frequency of a rule’s antecedent and consequent and the frequency that would be expected if the antecedent and consequent were independent, thereby indicating the degree to which the presence of the antecedent influences the consequent in a logically asymmetric manner.
114
Publications
6.5K
Citations
261
Authors
152
Institutions
Publications per year
2017–2026
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152
University of Kentucky
Lexington, United States
4 h-index
9 publications
133 citations
Michigan State University
East Lansing, United States
3 h-index
4 publications
119 citations

University of Georgia
Athens, United States
3 h-index
3 publications
166 citations

University of Warwick
Coventry, United Kingdom
3 h-index
3 publications
1.4K citations
RAND Corporation
Santa Monica, United States
3 h-index
5 publications
349 citations
University of Michigan
Ann Arbor, United States
3 h-index
3 publications
196 citations
Kennesaw State University
Kennesaw, United States
2 h-index
2 publications
33 citations

Stockholm University
Stockholm, Sweden
2 h-index
2 publications
46 citations
1–8 of 152
7 publications · 864 citations
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Repository · 5 publications · 94 citations
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4 publications · 263 citations
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JELS · 3 publications · 242 citations
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3 publications · 79 citations
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