Enhancing the capabilities of Student Result Prediction System-Reference-Cited by-同舟云学术

Enhancing the capabilities of Student Result Prediction System

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies - ICTCS '16
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Author:

Chaudhury Pamela¹,Mishra Sushruta²,Tripathy Hrudaya Kumar³,Kishore Brojo⁴

Affiliation:

1. School of Computer Engineering, Kalinga Institute of Industrial Technology(KIIT) University, Bhubaneswar

2. C V Raman College, Bhubaneswar

3. School of Computing, Universiti of Utara Malaysia, Sintok, Kedah, Malaysia

4. Mishra Dept. of IT, C V Raman College, Bhubaneswar

Publisher

ACM Press

Reference18 articles.

1. Romereo. R and Ventura S., 2010. Educational data mining:a review of the state of the art, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews,2010

2. Simpson, O. (2006). Predicting student success in open and distance learning. Open Learning, 21(2), 125--138

3. P. Cortez and A. Silva. 2008. Using Data Mining to Predict Secondary School Student Performance. In A. Brito and J. Teixeira Eds., Proceedings of 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008) pp. 5--12, Porto, Portugal, April, 2008, EUROSIS, ISBN 978-9077381-39-7.

4. Yojna Arora, Abhishek Singhal, and Abhay Bansal. 2014. PREDICTION & WARNING: a method to improve student's performance. SIGSOFT Softw. Eng. Notes 39, 1 (February 2014), 1--5. DOI=http://dx.doi.org/10.1145/2557833.2557842

5. George John, Pat Langley,1995. Estimating Continuous Distributions in Bayesian Classifiers, In Proceeding UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence Pages 338--345

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