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- W3091054741 abstract "In statistics, mediation models aim to identify and explain the direct and indirect effects of an independent variable on a dependent variable. In heterogeneous data, the observed effects might vary for parts of the data. In this paper, we develop an approach for identifying interpretable data subgroups that induce exceptionally different effects in a mediation model. For that purpose, we introduce mediation models as a novel model class for the exceptional model mining framework, introduce suitable interestingness measures for several subtasks, and demonstrate the benefits of our approach on synthetic and empirical datasets." @default.
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- W3091054741 date "2020-01-01" @default.
- W3091054741 modified "2023-09-23" @default.
- W3091054741 title "Mining Exceptional Mediation Models" @default.
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- W3091054741 doi "https://doi.org/10.1007/978-3-030-59491-6_30" @default.
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