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Predicting Academic Success from Student Enrolment Data using Decision Tree Technique

by M Narayana Swamy, M. Hanumanthappa
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 3
Year of Publication: 2012
Authors: M Narayana Swamy, M. Hanumanthappa
10.5120/ijais12-450654

M Narayana Swamy, M. Hanumanthappa . Predicting Academic Success from Student Enrolment Data using Decision Tree Technique. International Journal of Applied Information Systems. 4, 3 ( September 2012), 1-6. DOI=10.5120/ijais12-450654

@article{ 10.5120/ijais12-450654,
author = { M Narayana Swamy, M. Hanumanthappa },
title = { Predicting Academic Success from Student Enrolment Data using Decision Tree Technique },
journal = { International Journal of Applied Information Systems },
issue_date = { September 2012 },
volume = { 4 },
number = { 3 },
month = { September },
year = { 2012 },
issn = { 2249-0868 },
pages = { 1-6 },
numpages = {9},
url = { https://www.ijais.org/archives/volume4/number3/278-0654/ },
doi = { 10.5120/ijais12-450654 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:47:05.020128+05:30
%A M Narayana Swamy
%A M. Hanumanthappa
%T Predicting Academic Success from Student Enrolment Data using Decision Tree Technique
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 4
%N 3
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Indian education system has witnessed significant expansion in recent years, both in terms of the number of institutions as well as the student enrollment. There is a massive growth in self financed higher educational institutions in India in the next two decades. This causes a competition among institutions while attracting the student to get admission in these institutions. Therefore, institutions focused on the strength of students not on the quality of student at the time of enrollment. After the enrollment the institution tries to improve the quality of the student. Like other domain educational domain also produce huge amount of data. To improve the quality of education the data analysis plays an important role for decision support. The data mining is used to extract hidden information from large data set/data warehouse. In this paper we present the data mining technique to predict the performance of the students based on the enrollment data. It helps the teacher to take remedial measure for slow learners to improve the performance in the university examination.

References
  1. . "India Country Summary of Higher Education". World Bank.
  2. Report of ministry of Human Resource Development annual report 2009-10
  3. 40 million by 2020: Preparing for a new paradigm in Indian Higher Education Ernst & Young - EDGE 2011 report
  4. www. educationaldatamining. org
  5. Florin Gorunescu "Data Mining Concepts,Models and Techniques" ISBN 978-3-642-19720-8 e-ISBN 978-3-642-19721-5
  6. ]Florin Gorunescu "Data Mining Concepts,Models and Techniques" ISBN 978-3-642-19720-8 e-ISBN 978-3-642-19721-5
  7. Romero,C. and Ventura, S. ,"Educational DataMining: A Survey from 1995 to 2005". Expert Systemswith Applications
  8. Delavari N, Beikzadeh M. R. "Data Mining Application in Higher LearningInstitutions ",Informatics in Education, 2008, Vol. 7, No. 1, 31–54
  9. R. R. Kabra and R. S. Bichkar, "Performance Prediction of Engineering Students using Decision Trees "International Journal of Computer Applications (0975 – 8887) Volume 36– No. 11, December 2011
  10. Surjeet Kumar Yadav, Saurabh pal ," Data Mining Application in Enrollment Management: A Case Study "International Journal of Computer Applications (0975 – 8887) Volume 41– No. 5, March 2012
  11. Brijesh Kumar Baradwaj, Saurabh Pal" Mining Educational Data to Analyze Students' Performance", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 6, 2011
  12. SajadinSembiring, M. Zarlis, DedyHartama, Ramliana S, ElviWani "PREDICTION OF STUDENT ACADEMIC PERFORMANCE BY AN APPLICATION OF DATA MINING TECHNIQUES "2011 International Conference on Management and Artificial Intelligence IPEDR vol. 6 (2011) IACSIT Press, Bali, Indonesia
  13. Phillip H. SherrodDTREG Predictive Modeling Software www. dtreg. com
Index Terms

Computer Science
Information Sciences

Keywords

Educational Data mining Classification Decision Tree Higher Education

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