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Effect of Numerous Data Sets on Performance Prediction

by Jyoti Upadhyay, Pratima Gautam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 5
Year of Publication: 2016
Authors: Jyoti Upadhyay, Pratima Gautam
10.5120/ijca2016911100

Jyoti Upadhyay, Pratima Gautam . Effect of Numerous Data Sets on Performance Prediction. International Journal of Computer Applications. 147, 5 ( Aug 2016), 30-32. DOI=10.5120/ijca2016911100

@article{ 10.5120/ijca2016911100,
author = { Jyoti Upadhyay, Pratima Gautam },
title = { Effect of Numerous Data Sets on Performance Prediction },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 5 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number5/25652-2016911100/ },
doi = { 10.5120/ijca2016911100 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:07.229862+05:30
%A Jyoti Upadhyay
%A Pratima Gautam
%T Effect of Numerous Data Sets on Performance Prediction
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 5
%P 30-32
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There are many factors, which may affects performance. But the number of factors also affects on result of computational model. We are presenting a computational model to forecast students’ performance. To calculate we will use 8 different factors that are directly or indirectly influence performance. Influencing factors how much correlated to each other we also present this. Through this paper we classify those factors using fuzzy decision tree.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Fuzzy Decision Tree Classification correlation and Prediction.

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