APPLICATION OF EDUCATINAL DATA MINING FOR PREDICTING OF ACADEMIC SUCCESS
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Abstract
The goals and objectives of educational data mining are considered. The results of the first examination session, obtained by cluster analysis carried out in the environment of the system of data mining WEKA, are analysed. Further academic success is predicted on the basis of the acquired results. The quality of the prediction is checked by constructing ROC-curve with the help of AtteStat add-in for MS Excel spreadsheet processor.
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References
Big Data in Education [Электронный ресурс]. – Режим доступа: https://www.coursera.org. – Дата доступа: 12.01.2016.
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