"The benefits of using multi-objectivization for mining pittsburgh partial ..."

Julie Jacques et al. (2013)

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DOI: 10.1145/2463372.2463432

access: closed

type: Conference or Workshop Paper

metadata version: 2018-11-14

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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. GECCO 2013: 543-550

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