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Reseach Article

Decision Support System for Admission in Engineering Colleges based on Entrance Exam Marks

by Miren Tanna
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 11
Year of Publication: 2012
Authors: Miren Tanna
10.5120/8249-1763

Miren Tanna . Decision Support System for Admission in Engineering Colleges based on Entrance Exam Marks. International Journal of Computer Applications. 52, 11 ( August 2012), 38-41. DOI=10.5120/8249-1763

@article{ 10.5120/8249-1763,
author = { Miren Tanna },
title = { Decision Support System for Admission in Engineering Colleges based on Entrance Exam Marks },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 11 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number11/8249-1763/ },
doi = { 10.5120/8249-1763 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:01.263302+05:30
%A Miren Tanna
%T Decision Support System for Admission in Engineering Colleges based on Entrance Exam Marks
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 11
%P 38-41
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Making a wise career decision is very important for everyone. In recent years, decision support tools and mechanisms have assisted us in making the right career decisions. This paper attempts to enable a student who wishes to pursue Engineering, make up good decisions, using the help of a Decision Support System. Last 3 years' information has been obtained from the website of Directorate of Technical Education, India (DTE) which makes it freely available. Using Decision Rules, results are computed from which a student can choose which stream and college he/she can opt for on the basis of Entrance Exam marks he/she has scored. To make the results more relevant, a search in the already created decision system is performed. A student has to enter his/her Entrance Exam scores and the stream he/she wishes to opt for. Based on the entered information, the decision system will return colleges and streams categorized as Ambitious, Best Bargain and Safe.

References
  1. Elizabeth Murray, Using decision trees to understand student data, Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany,2005, unpublished.
  2. Sudheep Elayidom, Dr. Sumam Mary Idikkula, Joseph Alexander, Anurag Ojha, Applying data mining techniques for placement chance prediction, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, Trivandrum, Kerala, 2009, published, pp 669-671.
  3. V. S. Janakiraman, K. Sarukesi, Decision Support Systems, Chapter 6, PHI Learning Pvt. Ltd. , New Delhi, 2004, p 26.
  4. D. J. Hand, Heikki Mannila, Padhraic Smyth, Principles of data mining, Cambridge, MIT Press, 2001, p 1.
  5. Paulraj Ponniah, Data Warehousing Fundamentals, John Wiley & Sons, 2001, p 402-403.
  6. Daniel J. Power, Decision Support Systems: Concepts and Resources for Managers, Greenwood Publishing Group, 2002, p 6-13.
  7. Keen, P. G. W. and M. S. Scott-Morton. Decision Support Systems: An Organizational Perspective. Reading, MA: Addison-Wesley, 1978.
  8. Frada Burstein, C. W. Holsapple, Handbook on Decision Support, vol. 1, Springer-Verlag, Berlin, 2008, p 127.
  9. Daniel J. Power, Decision Support Basics, Business Expert Press, 2009, p 41.
  10. Gregory E. Kersten, Zbigniew Mikolajuk, Anthony G. O. Yeh, Decision support systems for sustainable development, Kluwer Academic Publishers, Norwell, 2000, p42.
  11. Jiawei Han, MichelineKamber, Data Mining Concepts and Techniques, Chapter 2, Morgan Kaufmann Publishers, San Francisco, 2006, p. 51
  12. Directorate of Technical Education [Online]. Available: http://www. dte
Index Terms

Computer Science
Information Sciences

Keywords

Prediction Result prediction