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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
Learning from Imbalanced Data Sets
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Pages: 377
Authors: Alberto Fernández
Categories: Computers
Type: BOOK - Published: 2018-10-22 - Publisher: Springer

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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
Imbalanced Classification with Python
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Authors: Jason Brownlee
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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
Data Mining and Knowledge Discovery Handbook
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Authors: Oded Maimon
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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
Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
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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