The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data

Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens. The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data. In Christian Blum, Enrique Alba, editors, Genetic and Evolutionary Computation Conference, GECCO '13, Amsterdam, The Netherlands, July 6-10, 2013. pages 543-550, ACM, 2013. [doi]

Abstract

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