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Rule Induction Using Information Theory.

, and . Knowledge Discovery in Databases, AAAI/MIT Press, (1991)

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From Data Mining to Knowledge Discovery: An Overview., , and . Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, (1996)Rule Induction Using Information Theory., and . Knowledge Discovery in Databases, AAAI/MIT Press, (1991)Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data., , and . IEEE Trans. Knowl. Data Eng., 15 (6): 1409-1421 (2003)The Calibration Gap between Model and Human Confidence in Large Language Models., , , , , , , and . CoRR, (2024)Analyzing user-event data using score-based likelihood ratios with marked point processes., and . Digit. Investig., (2017)Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences., , and . Technometrics, 58 (2): 205-213 (2016)Bounds on the mean classification error rate of multiple experts.. Pattern Recognit. Lett., 17 (12): 1253-1257 (1996)Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth., , , and . KDD Workshop, page 109-120. AAAI Press, (1994)Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation., , , and . CoRR, (2012)Analyzing Text and Social Network Data with Probabilistic Models.. ECML/PKDD (1), volume 7523 of Lecture Notes in Computer Science, page 7-8. Springer, (2012)