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Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining.

, , and . Journal of Machine Learning Research, (2009)

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Naïve Bayes.. Encyclopedia of Machine Learning, Springer, (2010)Averaged One-Dependence Estimators., and . Encyclopedia of Machine Learning, Springer, (2010)Averaged One-Dependence Estimators., and . Encyclopedia of Machine Learning and Data Mining, Springer, (2017)The Need for Low Bias Algorithms in Classification Learning from Large Data Sets., and . PKDD, volume 2431 of Lecture Notes in Computer Science, page 62-73. Springer, (2002)Classification Learning Using All Rules., and . ECML, volume 1398 of Lecture Notes in Computer Science, page 149-159. Springer, (1998)Further Pruning for Efficient Association Rule Discovery., and . Australian Joint Conference on Artificial Intelligence, volume 2256 of Lecture Notes in Computer Science, page 605-618. Springer, (2001)Pruning Derivative Partial Rules During Impact Rule Discovery., and . PAKDD, volume 3518 of Lecture Notes in Computer Science, page 71-80. Springer, (2005)Finding the Real Patterns.. PAKDD, volume 4426 of Lecture Notes in Computer Science, page 6. Springer, (2007)Skopus: Mining top-k sequential patterns under leverage., , , and . Data Min. Knowl. Discov., 30 (5): 1086-1111 (2016)Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers., and . PAKDD, volume 2637 of Lecture Notes in Computer Science, page 501-512. Springer, (2003)