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Generation of Rules for Student Feedback System by the Use of Rough Set Theory

by Sujogya Mishra, Shakti Prasad Mohanty, Sateesh Kumar Pradhan, Radhanath Hota
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 18
Year of Publication: 2015
Authors: Sujogya Mishra, Shakti Prasad Mohanty, Sateesh Kumar Pradhan, Radhanath Hota
10.5120/ijca2015907706

Sujogya Mishra, Shakti Prasad Mohanty, Sateesh Kumar Pradhan, Radhanath Hota . Generation of Rules for Student Feedback System by the Use of Rough Set Theory. International Journal of Computer Applications. 131, 18 ( December 2015), 54-57. DOI=10.5120/ijca2015907706

@article{ 10.5120/ijca2015907706,
author = { Sujogya Mishra, Shakti Prasad Mohanty, Sateesh Kumar Pradhan, Radhanath Hota },
title = { Generation of Rules for Student Feedback System by the Use of Rough Set Theory },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 18 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 54-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number18/23554-2015907706/ },
doi = { 10.5120/ijca2015907706 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:46.948033+05:30
%A Sujogya Mishra
%A Shakti Prasad Mohanty
%A Sateesh Kumar Pradhan
%A Radhanath Hota
%T Generation of Rules for Student Feedback System by the Use of Rough Set Theory
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 18
%P 54-57
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Student feedback is always a challenge for the teacher. In general method student usually in our country that is India shy in nature, usually never ask question to the teacher when he or she had any doubts in their mind , when question of feedback come they usually give negative feedback at the door of higher authorities . In this we develop rules using rough set to testify confusing state of the student mind. To generate the rules we are taking Rough Set as a tool

References
  1. Cios, K., W. Pedrycz and R. Swiniarski (1998). Data Mining Methods for Knowledge Discovery. Kluwer Academic
  2. Wolf, S., H. Oliver, S. Herbert and M. Michael (2000). Intelligent data mining for medical quality management
  3. Se-Ho, Ch., and P. Rockett (2002). The training of neural classifiers with condensed datasets. SMCB, 32(2), 202–206.
  4. Cheeseman, P., and J. Stutz (1996). Bayesian classification (AutoClass): theory and results. In U.M.Fayyad
  5. Grzymala–Busse, J., Z. Pawlak, R. Slowinski and W. Ziarko (1999). Rough sets. Communications of the ACM
  6. Hassanien, A.E. (2003). Classification and feature selection of breast cancer data based on decision tree algorithm
  7. Parido, A., and P. Bonelli (1993). A new approach to fuzzy classifier systems. In Proceedings of the FifthInternational Conference on Genetic Algorithms. pp. 223–230
  8. Setiono, R. (2000). Generating concise and accurate classification rules for breast cancer diagnosis. Artificial Intelligence in Medicine, 18(3), 205–219
  9. Lin, T.Y., and N. Cercone (1997). Rough Sets and Data Mining. Kluwer Academic Publishers.Ning, S., H. Xiaohua, W. Ziarko and N. Cercone (1994). A generalized rough sets model. In Proceedings ofthe 3rd Pacific Rim International Conference on Artificial Intelligence, Vol. 431. Beijing, China. Int. Acad.Publishers. pp. 437–443.
  10. Pawlak, Z. (1991). Rough Sets-Theoretical Aspect of Reasoning about Data. Kluwer Academic Publishers.
  11. Pawlak, Z., J. Grzymala–Busse, R. Slowinski, W. Ziarko (1995). Rough sets. Communications of the ACM
  12. Renu Vashist Prof M.L Garg Rule Generation based on Reduct and Core :A rough set approach International Journal of Computer Application(0975-887) Vol 29 September -2011 Page 1-4
Index Terms

Computer Science
Information Sciences

Keywords

Rough Set Theory Student feedback related data Granular computing Data mining.

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