Introduction

Abstract

Data mining involves discovering patterns of different types such as associations, summaries, rules, changes, outliers and significant structures. The terms interesting and potentially useful used in the realm of data mining are evidently subjective in nature depending on the problem and the concerned user. Some information that is of immense value to one user may be absolutely useless to another.