Foundations of Imbalanced Learning [chapter]

Gary M. Weiss
2013 Imbalanced Learning  
Many important learning problems, from a wide variety of domains, involve learning from imbalanced data. Because this learning task is quite challenging, there has been a tremendous amount of research on this topic over the past fifteen years. However, much of this research has focused on methods for dealing with imbalanced data, without discussing exactly how or why such methods work-or what underlying issues they address. This is a significant oversight, which this chapter helps to address.
more » ... is chapter begins by describing what is meant by imbalanced data, and by showing the effects of such data on learning. It then describes the fundamental learning issues that arise when learning from imbalanced data, and categorizes these issues as
doi:10.1002/9781118646106.ch2 fatcat:opqe7dy2onaadp2ckacz6bdaxq