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Research Paper | Computer Science & Engineering | India | Volume 6 Issue 4, April 2017
A Comprehensive Survey of Students Performance Using Various Data Mining Techniques
Dr. B. Umadevi [2] | R. Dhanalakshmi [3]
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
Edition: Volume 6 Issue 4, April 2017,
Pages: 2233 - 2238
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Research Paper, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022
Pages: 208 - 212Design & Development of Android App with Using Firebase and Develop App Shop One E-Procurement
Rajesh Singh [15] | Omkar Kalel | Sushil Kulkarni | Mahesh Patil
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Research Paper, Computer Science & Engineering, India, Volume 11 Issue 10, October 2022
Pages: 660 - 667Prediction of Student Admission using Fuzzy based Education Data Mining
Dr. Nikhat Khan