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Uni- and multivariate probability density models for numeric subgroup discovery.

, , , , and . Intell. Data Anal., 24 (6): 1403-1439 (2020)

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RSD: Relational Subgroup Discovery through First-Order Feature Construction., , and . ILP, volume 2583 of Lecture Notes in Computer Science, page 149-165. Springer, (2002)Improving the AUC of Probabilistic Estimation Trees., , and . ECML, volume 2837 of Lecture Notes in Computer Science, page 121-132. Springer, (2003)On the need for structure modelling in sequence prediction., , and . Mach. Learn., 104 (2-3): 291-314 (2016)On Graph Kernels: Hardness Results and Efficient Alternatives., , and . COLT, volume 2777 of Lecture Notes in Computer Science, page 129-143. Springer, (2003)Machine Learning - The Art and Science of Algorithms that Make Sense of Data.. Cambridge University Press, (2012)A Big Data platform for smart meter data analytics., , , and . Comput. Ind., (2019)Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration., and . ECML/PKDD (1), volume 9284 of Lecture Notes in Computer Science, page 68-85. Springer, (2015)Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics., , and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 279-294. Springer, (2015)The Role of Textualisation and Argumentation in Understanding the Machine Learning Process., and . IJCAI, page 5211-5212. ijcai.org, (2017)Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements., and . IJCAI, page 5785-5786. ijcai.org, (2018)