Semantic data selections and mining in decision tables

Abstract

This article concerns the integration of selected concepts and methods, which are characteristic for rough sets, with techniques used in relational databases. The aim is to improve the efficiency in the realization of complex computational operations. In this paper we have presented implementations of algorithms of core attributes selection, the method for finding reducts as well as determining decision rules in the database system. © 2011 Springer-Verlag Berlin Heidelberg.