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Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining.

, and . SDM, page 309-317. SIAM, (2017)

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Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining., , and . SSDM@ECML/PKDD, volume 47 of JMLR Workshop and Conference Proceedings, page 1-2. JMLR.org, (2014)General upper bounds for well-behaving goodness measures on dependency rules.. CoRR, (2014)Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher's Exact Test of Significance.. ICDM, page 196-205. IEEE Computer Society, (2010)Assessing the statistical significance of association rules.. CoRR, (2014)Statistically sound pattern discovery., and . KDD, page 1976. ACM, (2014)Efficient Search Methods for Statistical Dependency Rules.. Fundam. Informaticae, 113 (2): 117-150 (2011)Lift-based search for significant dependencies in dense data sets.. KDD Workshop on Statistical and Relational Learning in Bioinformatics, page 12-16. ACM, (2009)Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures.. Knowl. Inf. Syst., 32 (2): 383-414 (2012)Efficient search for statistically significant dependency rules in binary data.. University of Helsinki, Finland, (2010)base-search.net (ftunivhelsihelda:oai:helda.helsinki.fi:10138/21387).A tutorial on statistically sound pattern discovery., and . Data Min. Knowl. Discov., 33 (2): 325-377 (2019)