Learning From Imbalanced Data Sets

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This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features
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Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and
Imbalanced Classification with Python
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Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek le
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