Mining linguistic summaries of databases using based Lukasiewicz implication fuzzy functional dependency

Data and knowledge mining have been recognized by many researchers as a key research topic in database systems. We are concerned with mining linguistic summaries of a relational database. The discovery of these linguistic summaries is based on fuzzy functional dependency, using Lukasiewicz implication, and their derived sound properties. We present an algorithm which implements the discovery process. Moreover, the problem of incremental maintenance of the discovered knowledge is addressed.