@INPROCEEDINGS { Rsds3568,
author = {Ziarko, Wojciech}, 
title = {Review of Basics of Rough Sets in The Context of Data Mining}, 
booktitle = {Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
conference = {International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
pages = {447--457}, 
publisher = {Japanese Research Group on Rough Sets}, 
address = {Tokyo, Japan}, 
month = {November}, 
year = 1996, 
editor = {Tsumoto, Shusaku and Kobayashi, Satoshi and Yokomori, Takashi and Tanaka, Hiroshi and Nakamura, Akira}, 
isbn = {4-947717-01-7}, 
abstract = {This paper reviews some of the basics of the methodology of rough sets. Main theoretical issues and approaches to rough sets are discussed. The primary application problem addressed in the paper is knowledge discovery in databases. The following aspects of rough sets methodology are presented: information generalization, the discovery, analysis and simplification of significant data relationships, discovery of data dependencies, fundamental factors, rules and the variable precision model of rough sets.}, 
keywords = {rough sets, data mining, knowledge discovery, }, 
}