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Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach.

, , , and . ICDM, page 158-167. IEEE Computer Society, (2010)

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ELBA: Exceptional Learning Behavior Analysis., , and . EDM, International Educational Data Mining Society (IEDMS), (2018)Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS)., , and . SDM, page 585-593. SIAM, (2022)BoostEMM - Transparent Boosting using Exceptional Model Mining., , , , , , and . MIDAS@PKDD/ECML, volume 1941 of CEUR Workshop Proceedings, page 5-16. CEUR-WS.org, (2017)Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery., and . ICDM, page 151-160. IEEE Computer Society, (2011)Exceptionally monotone models - the rank correlation model class for Exceptional Model Mining., and . Knowl. Inf. Syst., 51 (2): 369-394 (2017)Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally., , and . CoRR, (2018)Discovering Local Subgroups, with an Application to Fraud Detection., , , and . PAKDD (1), volume 7818 of Lecture Notes in Computer Science, page 1-12. Springer, (2013)Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions., , , and . Data Min. Knowl. Discov., 36 (1): 379-413 (2022)Adversarial balancing-based representation learning for causal effect inference with observational data., , , , and . Data Min. Knowl. Discov., 35 (4): 1713-1738 (2021)Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling., , , and . Data Min. Knowl. Discov., 34 (5): 1267-1290 (2020)