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Research Article

Construction Extrapolative Models For Data Mining Schemes

  • Paper ID 23
  • Volume 2, Issue 2
  • Pages 06-08
  • Published Online: March-April 2022
  • 5 Views
Open Access Peer Reviewed

Authors

  • Booraja P1
  • Preethi S2

12 Dept. of CSE, Annai Teresa College of Engineering, Tamilnadu, India.

Article Information

DOI
No DOI
Published Online
March-April 2022
Pages
06-08
Article Type
Research Article
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No DOI available for cross-reference

References

1. P.Cortez,and A.Silva,“Using data mining to predict secondary school student performance.” In the Proceedings of 5th Annual Future
Business Technology Conference, Porto,Portugal, 5-12,2008.
2. A. Galit, A. Hershkovitz, R. Mintz, and R. Nachmias, “Examining online learning processes based on log files analysis: a case
study.”Research, Reflection and Innovations in Integrating ICT in Education2007.
3. J. Han, and M. Kamber, "Data Mining: Concepts and Techniques,” 2nd edition. The Morgan Kaufmann Series in Data Management
Systems,Jim Gray,Series Editor,2006.
4. J. Han and M. Kamber, “Data Mining: Concepts and Techniques.”Simon Fraser University,Morgan Kaufmann publishers,ISBN1-
55860-489-8.2001.
5. S.T.Hijazi,andR.S.M.M.Naqvi,“Factors Affecting Student‟sPerformance: A Case of Private Colleges,” Bangladesh e-Journal of
Sociology, Vol.3,No.1, 2006.
6. Z. N. Khan, “Scholastic achievement of higher secondary students in science stream,” Journal of Social Sciences, Vol. 1, No. 2, pp. 84-
87,2005..
7. Z. J. Kovacic, “Early prediction of student success: Mining student enrollment data,” Proceedings of Informing Science & IT
Education Conference2010.
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