@INPROCEEDINGS { Rsds4428,
author = {Stefanowski, Jerzy and Wilk, Szymon}, 
title = {Combining rough sets and rule based classifiers for handling imbalanced data}, 
booktitle = {Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P'2005)}, 
volume = 2, 
pages = {497--509}, 
publisher = {Warsaw University}, 
address = {Warsaw, Poland}, 
month = {September}, 
year = 2005, 
editor = {Czaja, Ludwik}, 
isbn = {83-88374-47-8}, 
abstract = {This paper presents two rough sets based filtering approaches combined with rule based classifiers suited for handling imbalanced data sets, i.e. data sets where the minority class of primary importance is under-represented in comparison to the majority classes. We introduced two techniques to detect and process inconsistent majority cases in the boundary between the minority and majority classes. The experiments showed that the best results were obtained for the minority class, combined with MODLEM rule induction algorithm.}, 
keywords = {knowledge discovery, data mining, rough sets, classification, class imbalance, rule induction, }, 
}