Finding Statistically Significant Attribute Interactions

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Henelius, Andreas; Ukkonen, Antti; Puolamäki, Kai;
(2016)
  • Subject: Statistics - Machine Learning | Computer Science - Learning

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 attributes are medical markers and the variable of interest (class variable) is binary indicati... View more
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