Improving Learner Performance with Data Sampling and Boosting

Abstract

Learning from imbalanced datasets is a well known problem in the data mining community. Many techniques have been proposed to alleviate the problems associated with class imbalance, including data sampling and boosting. While data sampling has received the bulk of the attention from the research community, our results show that boosting often results in… (More)
DOI: 10.1109/ICTAI.2008.58

Topics

7 Figures and Tables

Slides referencing similar topics