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• W2247506234 abstract "Exceptional Model Mining strives to find coherent subgroups of the dataset where multiple target attributes interact in an unusual way. One instance of such an investigated form of interaction is Pearson's correlation coefficient between two targets. EMM then finds subgroups with an exceptionally linear relation between the targets. In this paper, we enrich the EMM toolbox by developing the more general rank correlation model class. We find subgroups with an exceptionally monotone relation between the targets. Apart from catering for this richer set of relations, the rank correlation model class does not necessarily require the assumption of target normality, which is implicitly invoked in the Pearson's correlation model class. Furthermore, it is less sensitive to outliers." @default.
• W2247506234 created "2016-06-24" @default.
• W2247506234 creator A5004960933 @default.
• W2247506234 creator A5074794888 @default.
• W2247506234 date "2015-11-01" @default.
• W2247506234 modified "2023-09-26" @default.
• W2247506234 title "Exceptionally Monotone Models -- The Rank Correlation Model Class for Exceptional Model Mining" @default.
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• W2247506234 doi "https://doi.org/10.1109/icdm.2015.81" @default.
• W2247506234 hasPublicationYear "2015" @default.
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