The status of research on rough sets for Knowledge Discovery in Databases

Knowledge Discovery in Databases (KDD) has evolved into an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering (or extracting) interesting and previously unknown knowledge from very large real-world databases. Many aspects of KDD have been investigated in several related fields. The emphasis of ongoing research is to extend existing results to handle characteristics of real-world databases. In this article, we outline the fundamental issues of KDD as well as describe the current status of research on applying rough set theory to KDD.