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Today’s world produces an enormous amount of data in a regular basis from various sources. Data in such huge volumes do not constitute knowledge ie, they cannot be directly exploited by human beings and no useful information can be deduced simply by their observation. Thus, more elaborate techniques are required in order to extract the hidden knowledge and make these data valuable to the end-users (Terrovitis & Vassiliadis, 2003). Data mining (Romero, Oscar, & Abelló, 2010) was developed to help extract Knowledge from the raw data, using algorithms that could discover several statistic properties in the original data. Data mining produces results like association rules, clusters, decision trees and other structures that describe properties of the raw data. The common characteristic of all these techniques is that big portions of the available data are abstracted and represented by a small number of …