Database Mining through Inductive Logic Programming

Rapid growth in the automation of business transactions has lead to an explosion in the size of databases. It has been realised for a long time that the data in these databases contains hidden information which needs to be extracted. Data mining is a step in this direction and aims to find potentially useful and non-trivial i nformation from t hese databases in the form of patterns. As the size and complexity of these database increases, the question that normally arises is "Are the e xisting d ata mining techniques efficient enough for large databases"? This paper addresses this issue and looks at an alternative approach, Inductive Logic Programming, and its integration with deductive databases. This integration leads to development of a system called GLIDE (Generalised Logical Inductive and Deductive Environment).