Data Mining : A prediction of performer or underperformer using classification
arXiv:1104.4163
Abstract
Now a day's students have a large set of data having precious information hidden. Data mining technique can help to find this hidden information. In this paper, data mining techniques name Byes classification method is used on these data to help an institution. Institutions can find those students who are consistently perform well. This study will help to institution reduce the drop put ratio to a significant level and improve the performance level of the institution.
5 pages, 1 figure
Cited by in corpus (6)
- Systematic Ensemble Model Selection Approach for Educational Data Mining
- Data Mining: A Prediction for Performance Improvement of Engineering Students using Classification
- Data Mining Applications: A comparative Study for Predicting Student's performance
- A Data Mining view on Class Room Teaching Language
- Mining Education Data to Predict Student's Retention: A comparative Study
- Building a Classification Model for Enrollment In Higher Educational Courses using Data Mining Techniques