@INPROCEEDINGS { Rsds3256,
author = {Choubey, Suresh K. and Deogun, Jitender S. and Raghavan, Vijay V. and Sever, Hayri}, 
title = {Comparison of Classification Methods}, 
booktitle = {Joint Conference of Information Science}, 
pages = {371--374}, 
month = {March}, 
year = 1997, 
abstract = {In this paper, we experimentally compare classification of concepts based on rough sets using upper, lower, and elementary set methods in the context of feature selection algorithms. We study the performance of lower, upper, and elementary set classifiers on several machine learning data sets and a real-world data set on duodenal ulcer. The experimental set-up is such that the approximation space (i.e., the set of features retained) can be different depending on the classification method used. In data mining applications, we are more interested in describing the data at hand.  Hence, we have used upper bound experiments, where same set of data is used for training and testing.  Our initial result suggests that upper classifier performs better than lower classifier of the data set on duodenal ulcer that we have used.}, 
keywords = {rough sets, feature selection, upper classifier, lower classifier, elementary set, database mining, knowledge discovery, }, 
}