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Article:A Generalized Data mining Framework for Placement Chance Prediction Problems

by Sudheep Elayidom, Sumam Mary Idikkula, Joseph Alexander
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 3
Year of Publication: 2011
Authors: Sudheep Elayidom, Sumam Mary Idikkula, Joseph Alexander
10.5120/3807-5257

Sudheep Elayidom, Sumam Mary Idikkula, Joseph Alexander . Article:A Generalized Data mining Framework for Placement Chance Prediction Problems. International Journal of Computer Applications. 31, 3 ( October 2011), 40-47. DOI=10.5120/3807-5257

@article{ 10.5120/3807-5257,
author = { Sudheep Elayidom, Sumam Mary Idikkula, Joseph Alexander },
title = { Article:A Generalized Data mining Framework for Placement Chance Prediction Problems },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 3 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number3/3807-5257/ },
doi = { 10.5120/3807-5257 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:13.651736+05:30
%A Sudheep Elayidom
%A Sumam Mary Idikkula
%A Joseph Alexander
%T Article:A Generalized Data mining Framework for Placement Chance Prediction Problems
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 3
%P 40-47
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Mining is such a promising technology whose worth becomes evident when it can be applied to a domain where a common man is benefited. This paper is an attempt to help the prospective students to make wise career decisions using technologies like data mining using decision trees, Naïve Bayes and artificial neural networks. A student enters his Entrance Rank, Gender (M/F), Sector (rural/urban) and Reservation category. Based on the entered information the Network or the decision tree will return which branch of study is Excellent, Good, Average or poor for him/her. Also in this paper we compare the performance of the models on the same data and propose a generalized data mining framework for problems of similar nature.

References
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  10. SudheepElayidom.M, Sumam Mary Idikkula, Joseph Alexander, “Applying Data mining techniques for placement chance prediction”. Proceedings of ACT , India. , 2010.
  11. SudheepElayidom.M, Sumam Mary Idikkula, Joseph Alexander, “Comparison of data mining techniques using decision trees and neural nets for placement chance prediction”. Proceedings of ICONCEPT, India, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Confusion matrix Data mining Decision trees neural networks Placement chance prediction

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