Introduction

Abstract

Data mining, or knowledge discovery, is frequently referred to in the literature as the process of extracting interesting information or patterns from large databases. There are two major directions in data mining research: patterns and interest. The pattern discovery techniques include: classification, association, and clustering. Interest refers to pattern applications in business, education, medicine, military or other organizations, being useful or meaningful [16]. Since pattern discovery techniques often generate large amounts of knowledge, they require a great deal of expert manual work to post-process the mined results.