Data Mining Applications in Education

We are witnessing the changes in Education by time. Databases on technology developments and especially storage systems grow, Databases need more memory. The discovery of correlations and relationships within the rapidly increasing size of existing data and the finding of valid predictions based on them have become an important concept in the computer age we are in. In many countries' education system has used electronic logging software. WEB software has provided a great contribution especially in the processing of training data, in the determination of training management strategies, self assessment and in the development plans. Although in some countries university department preferences are free, a good orientation is always needed. While the university department or profession is preferred, it is a good choice to process the data in the electronic daily with data mining techniques. In our research we have used the data mining prediction tree, the WEKA open-code software and the Apriori algorithm. It is a fact that data mining methods give very effective results in determining the factors that affect the educational success of the students.