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Annals of Computer Science and Information Systems, Volume 10

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering

A Review of Educational Data Mining in Higher Education System

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DOI: http://dx.doi.org/10.15439/2017R87

Citation: Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, Vijender Kumar Solanki, Vijay Bhasker Semwal, Rubén González Crespo, Vishwanath Bijalwan (eds). ACSIS, Vol. 10, pages 349–358 ()

Full text

Abstract. The discovery of hidden patterns in educational data is a promising research in Educational Data Mining. The students achievement rate were reduced continuously is the major problem in higher education. To increase the success rate of students the early forecast technique will help the management to counsel the poor students at right time. To discover the new patterns from various data the data mining approach is widely used. Likewise here the data mining is used in educational field to extract hidden patterns. Classification is used to classify the records based on the preparation set and also it uses the pattern to categorize the new records. This paper aims to show the various techniques of Educational data mining that guides the management to take better action on students at risk.

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