## New Probabilistic Interest Measures for Association Rules

*Hahsler, Michael*;

*Hornik, Kurt*;

- Publisher: Department of Statistics and Mathematics, WU Vienna University of Economics and Business
- Subject: Statistics - Machine Learning | data mining / association rules / measures of interestingness / probabilistic data modeling | Computer Science - Databases

- References (22)
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[11] W. DuMouchel and D. Pregibon, Empirical Bayes screening for multi-item associations, in: Proceedings of the ACM SIGKDD Intentional Conference on Knowledge Discovery in Databases and Data Mining (KDD-01), F. Provost and R. Srikant, eds., ACM Press, 2001, pp. 67{76.

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