We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Prediction of Final Result and Placement of Students using Classification Algorithm

by Neelam Naik, Seema Purohit
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 12
Year of Publication: 2012
Authors: Neelam Naik, Seema Purohit
10.5120/8945-3111

Neelam Naik, Seema Purohit . Prediction of Final Result and Placement of Students using Classification Algorithm. International Journal of Computer Applications. 56, 12 ( October 2012), 35-40. DOI=10.5120/8945-3111

@article{ 10.5120/8945-3111,
author = { Neelam Naik, Seema Purohit },
title = { Prediction of Final Result and Placement of Students using Classification Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 12 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 35-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number12/8945-3111/ },
doi = { 10.5120/8945-3111 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:40.271709+05:30
%A Neelam Naik
%A Seema Purohit
%T Prediction of Final Result and Placement of Students using Classification Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 12
%P 35-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The quality higher education is required for growth and development of country. Professional education is one of the pillars of higher education. Data mining techniques aim to discover hidden knowledge in existing educational data, predict future trends and use it for betterment of higher educational institutes as well as students. The objective of this study is to use prediction technique using data mining for producing knowledge about students of Masters of Computer Application course before admitting them to the course.

References
  1. Amar Sahay 2010, "Assisting Higher Education in Assessing, Predicting, and Managing Issues Related to Student Success: A Web-based Software using Data Mining and Quality Function Deployment", Academic and Business Research Institute Conference, Las Vegas
  2. Bhattacharya 2005. "Changing Strategies in Professional Education" By Prof. S. K. Bhattacharya in IETE technical review, vol. 22, no. 5, September
  3. Jing Luan 2004, "Data Mining Applications in Higher Education", SPSS Executive Report
  4. Pillania Rajesh K. 2007, "Knowledge Management for Indian Business Schools", Journal of Services Research, Vol. 7, No. 2
  5. Ranjan Jayanthi and Malik Kamna 2007, "Effective educational process: a data-mining approach", The journal of knowledge management systems, vol. 37, No. 4
  6. Rashan K. H. 2010, "Data Mining Applications in the education sector", MSIT, Carnegie Mellon University
  7. Singleton Alex 2009, "Data Mining course choice sets and behaviours for target marketing of higher education", Journal of Targeting, Measurement and Analysis for Marketing Vol. 17, 3, 157–170
  8. World Bank Report 2010, "http://www. worldbank. org. in/WBSITE/EXTERNAL/COUNTRIES/SOUTHASIAEXT/INDIAEXTN/0,,contentMDK:21493265~pagePK:141137~piPK:141127~theSitePK:295584,00. html", accessed on June 15, 2010
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Higher education Classification Prediction