Clustering knowledge in tabular knowledge bases

Abstract

Recently, there has been a growing interest in the maintenance and efficiency of large knowledge based systems. Decomposition of knowledge based systems is recognized as an important research issue in this respect. We discuss the decomposition of knowledge bases that consist of decision tables. Several algorithms to decompose large decision tables into smaller components are proposed.