Abstract—In recent years, datum have reached great dimensions and obtaining significant and useful information from these datum have come to be a very difficult operation that takes a long time by human’s power. In the completion of this operation with an easy and a fast manner, it has been seen that the concept of data mining carries a big importance. In this Study, making a survey for the preparatory class students of Selcuk University by the web, it has been tried to find the factors affecting on the success of the students by the data mining methods. Therefore, from the methods of data mining, it has been used apriori and decision tree algorithms. In the Study, a survey has been made for the students by the web, and the questions of this survey done and the answers given for these questions have been held in a digital environment. As for these answers, after analysing by two different programmes prepared by in MATLAB media, some laws have been found, and the results have been compared.

Index Terms—Apriori, Decision Tree, Data Mining.

The authors are with the Department of Computer Engineering,University of Selcuk, Konya, Turkey (e-mail: hkodaz@selcuk.edu.tr,hkodaz@selcuk.edu.tr).

Cite: U. Ekim, G. Tezel, and H. Kodaz, "The Research for the Factors Affecting on the Success of the Students by Using Apriori and Decision Tree Algorithms," International Journal of Computer and Communication Engineering vol. 2, no. 1, pp. 64-67 , 2013.