Data mining is a set of systems that are really embedded in a larger BI system (Apte, et. al, 2002). Data mining itself is made up of several analytical, mathematical, and statistical techniques. Before applying these methods to data, the data has to be typically organized into history repositories, known as data warehouses (Luan, 2004).
Data mining has been used in several industries such as financial, telecommunication, and education (Delavari and Beikzadeh, 2008). Education organizations have shown interest in data mining due to the potential data mining can provide in this domain. For example, (Erdoğan and Timor, 2005) used data mining in studying the effect of admission test results on students performance in higher education. (Shaeela, et al 2010). (Luan, 2002) studied the potential data mining can provide to the decision makers in higher education.