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stat.ML2017★ 31 cited
Interpreting Classifiers through Attribute Interactions in Datasets
Andreas Henelius, Kai Puolamäki, Antti Ukkonen
In this work we present the novel ASTRID method for investigating which attribute interactions classifiers exploit when making predictions. Attribute interactions in classification…
stat.ML2016★ 2 cited
Finding Statistically Significant Attribute Interactions
Andreas Henelius, Antti Ukkonen, Kai Puolamäki
In many data exploration tasks it is meaningful to identify groups of attribute interactions that are specific to a variable of interest. For instance, in a dataset where the attri…