Intelligent Data Engineering and Automated Learning

This book investigates the nature of imbalanced data sets and looks at two external methods which can increase a learner''s performance on under represented classes. Both techniques artificially balance the training data; one by randomly re-sampling examples of the under represented class and adding them to the training set the other by randomly removing examples of the over represented class from the training set. A combination scheme is then presented. The approach is one in which multiple cla...See More