@BOOK { Rsds4459,
title = {Data Mining, Rough Sets and Granular Computing}, 
booktitle = {Proceedings of the International Workshop "Monitoring, Security and Rescue Techniques in Multiagent Systems" (MSRAS'2004)}, 
conference = {International Workshop "Monitoring, Security and Rescue Techniques in Multiagent Systems"}, 
series =  = {Studies in Fuzziness and Soft Computing}, 
volume = 95, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2002, 
editor = {Lin, Tsau Young and Yao, Yiyu and Zadeh, Lotfi A.}, 
url = {http://www.springer.com/computer/artificial/book/978-3-7908-1461-3}, 
isbn = {978-3-7908-1461-3}, 
abstract = {This volume is the result of a two-year project aimed at coalescing the concepts and techniques of granular computing on one side, and rough set theory on another. It consists of a collection of up-to-date and authoritative expositions of the basic theories underlying data mining, granular computing and rough set theory, and stresses their wide-ranging applications. A principal aim of the work is to stimulate an exploration of ways in which progress in data mining can be enhanced through integration with granular computing and rough set theory. Written for: Scientists}, 
keywords = {data mining, fuzzy sets, granular computing, intelligent systems, rough sets, }, 
}