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Imbalanced learning: foundations, algorithms, and applications

The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning...

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Detalles Bibliográficos
Autores principales: He, Haibo, Ma, Yunqian
Lenguaje:eng
Publicado: Wiley-IEEE Press 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1568636