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Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data.

, , , and . ICDM, page 499-508. IEEE Computer Society, (2012)

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Distance-Based Decision Tree Algorithms for Label Ranking., , , and . EPIA, volume 9273 of Lecture Notes in Computer Science, page 525-534. Springer, (2015)Biclustering Multivariate Time Series., , and . IDA, volume 10584 of Lecture Notes in Computer Science, page 27-39. Springer, (2017)Preference rules for label ranking: Mining patterns in multi-target relations., , , , and . CoRR, (2019)Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data., , , and . ICDM, page 499-508. IEEE Computer Society, (2012)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)Multilayer Perceptron for Label Ranking., , , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 25-32. Springer, (2012)Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series., , , and . ECML/PKDD (3), volume 9853 of Lecture Notes in Computer Science, page 12-16. Springer, (2016)Multi-interval Discretization of Continuous Attributes for Label Ranking., , , , and . Discovery Science, volume 8140 of Lecture Notes in Computer Science, page 155-169. Springer, (2013)Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts., , and . Data Min. Knowl. Discov., 30 (1): 47-98 (2016)Sports analytics for professional speed skating., , , , and . Data Min. Knowl. Discov., 31 (6): 1872-1902 (2017)