MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets - researchr publication authors

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Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens. MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets. In Giuseppe Nicosia, Panos M. Pardalos, editors, Learning and Intelligent Optimization - 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers. Volume 7997 of Lecture Notes in Computer Science, pages 37-51, Springer, 2013. [doi]

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