@BOOK { Rsds4420,
title = {Rough Sets and Knowledge Technology}, 
booktitle = {Proceedings of the Third International Conference on Rough Sets and Knowledge Technology (RSKT'2008)}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 5009, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2008, 
editor = {Wang, Guoying and Li, T. and Grzymala-Busse, Jerzy W. and Miao, Duoqian and Skowron, Andrzej and Yao, Yiyu}, 
url = {http://www.springer.com/computer/artificial/book/978-3-540-79720-3}, 
isbn = {978-3-540-79720-3}, 
abstract = {This book constitutes the refereed proceedings of the Third International Conference on Rough Sets and Knowledge Technology, RSKT 2008, held in Chengdu, China, in May 2008. The 91 revised full papers papers presented together with 3 keynote papers and 6 tutorial papers were carefully reviewed and selected from 184 submissions. They all focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology. Written for: Researchers and professionals}, 
keywords = {Web mining, algorithmic learning, approximation, association mining, classification, clustering, data mining, decision making, description logic, domain oriented evolutionary algorithm, feature selection, fuzzy sets, genetic algorithms, granular computing, knowledge discovery, knowledge reduction, machine learning, modeling, multi-agent technology, neural networks, object-oriented rough sets, ontology, pattern recognition, Petri nets, probabilistic methods, rough sets, semantic Web, support vector machines, vague knowledge, }, 
}