Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

Offers new aspects for imbalanced data learning by providing the advancements of the traditional methods with respect to big data through case studies and research. The book provides theoretical frameworks and the latest empirical research findings that help to improve the understanding of the impact of imbalanced data.