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ABSTRACT
Data mining and knowledge discovery in large databases in recent years have become hot topics not only for researchers, they have as well attraped the attention of many major companies in the information technology domain. In this paper we present an approach to the problem, based on rough set methods. The main aim is to show how rough set and rough mereology theories can be effectively used to extract knowledge from large databases