Analysis & Survey of Different Data Mining Techniques for Predicting Student’s Performance
| Author(s) | : | Bhoomi H. Parmar, Prof. Kruti Khalpada |
| Institution | : | M.E. (Computer Engineering) Student,Dept. of Computer Engineering Atmiya Institute of Technology and Science Rajkot, Gujarat, India |
| Published In | : | Vol. 2, Issue 14 — January 2015 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Data Mining has wide applicability due to wideease of use of large amount of data and requirement ofstorage as per the need. Data mining techniques are widelyuseful in educational data mining for analysis of student data.In educational area data mining different data miningtechniques like classification, clustering, association rulemining, decision tree method have been used to analyzestudent’s learning manners, their mindset, forecasting theirresult, group them, and for finding out different patterns.Educational data mining helps for improving student’sperformance, for managing the student database and formanaging the institute. This paper focuses on different datamining techniques that are useful for predicting studentperformance.
Bhoomi H. Parmar, Prof. Kruti Khalpada, “Analysis & Survey of Different Data Mining Techniques for Predicting Student’s Performance”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 14, pp. -, January 2015.
