Title :
Studies of Knowledge Reductions Based on Bayesian Rough Set Model
Author :
Zhong, Jiaming ; Li, Dingfang
Author_Institution :
Network Center, XiangNan Univ., Chenzhou
Abstract :
Aiming at Bayesian rough set model, some new concepts of knowledge reduction are denoted such as the upper approximation reduction and the lower approximation reduction, the upper approximation discernible matrix and the lower approximation discernible matrix, the judgment theorems with respect to those reductions are obtained, from which we provide new approaches to knowledge reductions in information systems.
Keywords :
Bayes methods; approximation theory; data mining; data reduction; information systems; matrix algebra; rough set theory; Bayesian rough set model; information system; judgment theorem; knowledge reduction; lower approximation discernible matrix; lower approximation reduction; upper approximation discernible matrix; upper approximation reduction; Artificial intelligence; Bayesian methods; Data mining; Fuzzy sets; Information systems; Information technology; Intelligent networks; Mathematical model; Mathematics; Statistics;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
DOI :
10.1109/IITA.Workshops.2008.221