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