Imbalanced Learning
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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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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 learni
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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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Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and
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From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becomin