In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training d

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

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

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

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