Ensembles of Interesting Subgroups for Discovering High Potential Employees

Pages: 208 - 220
Published: Apr 19, 2016
Abstract
We propose a new method for building a classifier ensemble, based on subgroup discovery techniques in data mining. We apply subgroup discovery techniques to a labeled training dataset to discover interesting subsets, characterized by a conjuctive logical expression rule, where such subset has an unusually high dominance of one class. Treating these rules as base classifiers, we propose several simple ensemble methods to construct a single...
Paper Details
Title
Ensembles of Interesting Subgroups for Discovering High Potential Employees
Published Date
Apr 19, 2016
Pages
208 - 220
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