A Comprehensive Survey of Students Performance Using Various Data Mining Techniques
Abstract: The educational institutions are key resources for producing the good students to provide better services for the society. It is mandate for every educational institute to understand the competency level of every students, inorder to study and know the performance. The key factors for identifying the performance is being not only controlled with limited parameter but also with clear data. So it is inevitable to include some standards and calibration measures to make the study of students performance. In accompanying with this factor, we have so many tools and techniques are available to predict the results. But today the modern method, Datamining is evolving with so many techniques. Among them EDM (Educational Data Mining) is much popular and useful for making such a research. In our survey paper we would like to focus and analyse the various Data Mining Techniques to brought the clarity in students results and faculties contribution to make this one as success.
Keywords: EDM, IQ, Classification, Clustering, Prediction
How to Cite?: Dr. B. Umadevi, R. Dhanalakshmi, "A Comprehensive Survey of Students Performance Using Various Data Mining Techniques", Volume 6 Issue 4, April 2017, International Journal of Science and Research (IJSR), Pages: 2233-2238, https://www.ijsr.net/getabstract.php?paperid=ART20172940, DOI: https://dx.doi.org/10.21275/ART20172940