Learning from Imbalanced Data Sets

by Salvador García, Francisco Herrera, Bartosz Krawczyk, et al.

Book Overview

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, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge.

This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance...

• Format: Hardcover
• Language: English
• ISBN: 3319980734
• ISBN13: 9783319980737
• Release Date: November 2018
• Publisher: Springer
• Length: 377 Pages
• Weight: 1.61 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"