Research Article
Effect of Numerous Data Sets on Performance Prediction
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 147 - Issue 5 |
| Published: Aug 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 },
year = { 2016 },
volume = { 147 },
number = { 5 },
pages = { 30-32 },
doi = { 10.5120/ijca2016911100 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Jyoti Upadhyay
%A Pratima Gautam
%T Effect of Numerous Data Sets on Performance Prediction%T
%J International Journal of Computer Applications
%V 147
%N 5
%P 30-32
%R 10.5120/ijca2016911100
%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
- Ramageri, Mrs. Bharati M. "DATA MINING TECHNIQUES AND APPLICATIONS ." Indian Journal of Computer Science and Engineering Vol. 1 No. 4 301-305 (2010): 301-305.
- Sonia Joseph, Laya Devadas. "Student’s Performance Prediction Using Weighted Modified ID3 Algorithm ." International Journal of Scientific Research Engineering & Technology (IJSRET), 4.5 (2015): 571.
- Zadeh, L. A. "fuzzy set." information and control 8 (1965): 338-352.
- Alec Pawling, Nitesh V. Chawla, and Amitabh Chaudhary. "Computing Information Gain in Data Streams." TDM 2005: 2005 Temporal Data Mining Workshop (2005): 72-81.
- G. V. Kass, “An Exploratory Technique for Investigating Large Quantities of Categorical Data”, Applied Statistic, Vol. 29, (1980): 119-127.
- M. Ramaswami , R. Bhaskaran , "A CHAID Based Performance Prediction Model in Educational Data Mining",International Journal of Computer Science Issues, Vol. 7, (2010) :10-18
- https://rapidminer.com/products/studio/, dated march 2016.
- Xiaodong Liu,Xinghua Fenga, andWitold Pedryczc, "Extraction of fuzzy rules from fuzzy decision trees: An axiomatic fuzzy sets (AFS) approach", Data & Knowledge EngineeringVolume 84, (2013) , 1–25
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