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Uni- and multivariate probability density models for numeric subgroup discovery.

, , , , and . Intell. Data Anal., 24 (6): 1403-1439 (2020)

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Predefined pattern detection in large time series., , , , and . Inf. Sci., (2016)For real: a thorough look at numeric attributes in subgroup discovery., and . Data Min. Knowl. Discov., 35 (1): 158-212 (2021)Uni- and multivariate probability density models for numeric subgroup discovery., , , , and . Intell. Data Anal., 24 (6): 1403-1439 (2020)Record Linkage in Medieval and Early Modern Text., , , and . Population Reconstruction, Springer, (2015)SCHEP - A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space., and . Solving Large Scale Learning Tasks, volume 9580 of Lecture Notes in Computer Science, page 272-285. Springer, (2016)Mining multivariate time series with mixed sampling rates., , , , and . UbiComp, page 413-423. ACM, (2014)Cost-Based Quality Measures in Subgroup Discovery., , , and . PAKDD Workshops, volume 7867 of Lecture Notes in Computer Science, page 404-415. Springer, (2013)Cost-based quality measures in subgroup discovery, , , and . Journal of Intelligent Information Systems, 45 (3): 337--355 (2015)ROCsearch - An ROC-Guided Search Strategy for Subgroup Discovery., , and . LWA, volume 1226 of CEUR Workshop Proceedings, page 180. CEUR-WS.org, (2014)