📄 IJAERD-OJS-0051
Forecast Engineering Students Failure by Using Data Mining Techniques
| Author(s) | : | Komal S. Sahedani, Prof. B Supriya Reddy |
| Institution | : | M.Tech Research Scholar, C.E. Department, R.K. University, komalsedani5@gmail.com |
| Published In | : | Vol. 1, Issue 5 — May 2014 |
| Page No. | : | 140-151 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Abstract
This paper proposes to apply data mining techniques to predict engineering students failureand dropout. We use real data on 951 Engineering students from Rajkot, and employ classificationmethods, such as regression and decision trees. Experiments attempt to improve their accuracy forpredicting which students might fail or dropout by first, using all the available attributes; next,selecting the best attributes.
🕮 How to Cite
Komal S. Sahedani, Prof. B Supriya Reddy, “Forecast Engineering Students Failure by Using Data Mining Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 5, pp. 140-151, May 2014.
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