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

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and

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

Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek le

This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of M