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Computational models for performance prediction

Author Affiliations

  • 1AISECT University, Bhopal, MP, India
  • 2AISECT University, Bhopal, MP, India

Res. J. Computer & IT Sci., Volume 5, Issue (4), Pages 6-8, June,20 (2017)


In today’s era citizens have lots of option to learn in term of education. Before join any stream it is necessary to understand that how much a course is suitable for candidate or a student. It is necessary for candidate itself, for instructor or teacher, for organization and for society also. Performance in education field is not only depends upon intellectuality but also it affected by many more elements of circumstances. In the work trying to show which factors other than indulgency can affect the performance and how much they are correlated to each other. For accomplish work prediction method, decision tree, fuzzy data used.


  1. Bujnowski Pawel, Szmidt Eulalia and Kacprzy Janusz (2015)., An Approach to Intuitionist Fuzzy Decision Trees., 16th World Congress of the International Fuzzy Systems Association (IFSA) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), ISBN (online): 978-94-62520-77-6, 1253-1260.
  2. Joseph Sonia and Devadas Laya (2015)., Student’s Performance Prediction Using Weighted Modified ID3 Algorithm., International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN: 2278–0882, 4(5).
  3. Bansode Jyoti (2016)., Mining Educational Data to Predict Student‘s Academic Performance., International Journal on Recent and Innovation Trends in Computing and Communication, ISSN: 2321-8169, 4(1).
  4. Upadhya Jyoti and Gautam Pratima (2016)., Role of Fuzzy Set in Students’ Performance Prediction IOSR., Journal of Computer Engineering (IOSR-JCE), e-ISSN:2278-0661, 18(2), 37-41.
  5. Upadhyay Jyoti and Gautam Pratima (2016)., Effect of Numerous Data Sets on Performance Prediction., International Journal of Computer Applications, ISSN: 0975-8887, 147(5).