An Empirical Study of Oversampling and Undersampling Methods for LCMine an Emerging Pattern Based Classifier

Octavio Loyola-González, Milton García-Borroto, Miguel Angel Medina-Pérez, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo De Ita Luna. An Empirical Study of Oversampling and Undersampling Methods for LCMine an Emerging Pattern Based Classifier. In Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, Joaquín Salas Rodríguez, Gabriella Sanniti di Baja, editors, Pattern Recognition - 5th Mexican Conference, MCPR 2013, Querétaro, Mexico, June 26-29, 2013. Proceedings. Volume 7914 of Lecture Notes in Computer Science, pages 264-273, Springer, 2013. [doi]

Abstract

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