@INPROCEEDINGS { Rsds3271,
author = {Slezak, Dominik}, 
title = {Data Models Based on Approximate Bayesian Networks}, 
booktitle = {Proceedings of International Workshop on Rough Set Theory and Granular Computing (RSTGC-2001)}, 
conference = {International Workshop on Rough Set Theory and Granular Computing}, 
series =  = {Bulletin of International Rough Set Society}, 
volume = 5, 
pages = {89--92}, 
month = {May}, 
year = 2001, 
editor = {Hirano, Shoji and Inuiguchi, Masahiro and Tsumoto, Shusaku}, 
issn = {1346-0013}, 
abstract = {The notion of an approximate Bayesian network is considered in view of the construction of data models. Main topics of extraction of approximate nets from empirical data are discussed. Various ways of their application to the new case classification and irrelevant information reduction are presented.}, 
keywords = {rough sets, conditional independence, entropy, Bayesian network, Bayesian reasoning, }, 
}