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Efficient algorithms for finding optimal binary features in numeric and nominal labeled data.

, , , , and . Knowl. Inf. Syst., 42 (2): 465-492 (2015)

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When Learning Naive Bayesian Classifiers Preserves Monotonicity., , and . ECSQARU, volume 6717 of Lecture Notes in Computer Science, page 422-433. Springer, (2011)Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data., , , and . ICDM, page 499-508. IEEE Computer Society, (2012)On Generating All Optimal Monotone Classifications., and . ICDM, page 685-694. IEEE Computer Society, (2011)Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability., , , and . IDA, volume 8819 of Lecture Notes in Computer Science, page 380-392. Springer, (2014)Aligning Bayesian Network Classifiers with Medical Contexts., , , , , , and . MLDM, volume 5632 of Lecture Notes in Computer Science, page 787-801. Springer, (2009)Data-driven fraud detection in international shipping., , and . Expert Syst. Appl., (2018)Monotonicity in Bayesian Networks, , and . CoRR, (2012)Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences, and . CoRR, (2012)Explanation and diagnosis in business assessment., and . IEEE Trans. Syst. Man Cybern., 22 (2): 397-402 (1992)Exceptional Model Mining., , and . ECML/PKDD (2), volume 5212 of Lecture Notes in Computer Science, page 1-16. Springer, (2008)