RIS ID
31199
Abstract
This chapter is concerned with the class imbalance problem, which has been recognised as a crucial problem in machine learning and data mining. The problem occurs when there are significantly fewer training instances of one class compared to another class.
Publication Details
Nguyen, G. Hoang., Bouzerdoum, A. & Phung, S. (2009). Learning pattern classification tasks with imbalanced data sets. In P. Yin (Eds.), Pattern recognition (pp. 193-208). Vukovar, Croatia: In-Teh.