A Survey on Various Issues & Challenges on Students Performance Dataset |
Author(s): |
| Reena Yadav , LNCTE (BHOPAL); Mrs. Rajni Kori, LNCTE (Bhopal); Dr. Shiv K. Sahu, LNCTE (Bhopal) |
Keywords: |
| Educational Data Mining, Data Mining (DM), Knowledge Discovery in Databases (KDD), Classification, Learning Analytics (LA) |
Abstract |
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Student attrition is a problem most higher education institutions have to arrangement with as there are both ï¬nancial and human costs associated with it. Different researchers have studied it primarily using theoretical models and then conventional models. In recent times research on student attrition using data mining became extensive and in most cases attempts to predict the phenomena almost always using factors within the students. Here in this paper a survey of all the existing techniques that is implemented for the prediction of Student’s Performance. |
Other Details |
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Paper ID: IJSRDV5I50251 Published in: Volume : 5, Issue : 5 Publication Date: 01/08/2017 Page(s): 577-580 |
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