CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Rough Set Approach for Generation of Classification Rules for Dengue

by Sujogya Mishra, Shakti Prasad Mohanty, Radhanath Hota, J. Chandrakanta Badajena
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 14
Year of Publication: 2015
Authors: Sujogya Mishra, Shakti Prasad Mohanty, Radhanath Hota, J. Chandrakanta Badajena
10.5120/20817-3208

Sujogya Mishra, Shakti Prasad Mohanty, Radhanath Hota, J. Chandrakanta Badajena . Rough Set Approach for Generation of Classification Rules for Dengue. International Journal of Computer Applications. 118, 14 ( May 2015), 31-35. DOI=10.5120/20817-3208

@article{ 10.5120/20817-3208,
author = { Sujogya Mishra, Shakti Prasad Mohanty, Radhanath Hota, J. Chandrakanta Badajena },
title = { Rough Set Approach for Generation of Classification Rules for Dengue },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 14 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number14/20817-3208/ },
doi = { 10.5120/20817-3208 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:01:44.677031+05:30
%A Sujogya Mishra
%A Shakti Prasad Mohanty
%A Radhanath Hota
%A J. Chandrakanta Badajena
%T Rough Set Approach for Generation of Classification Rules for Dengue
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 14
%P 31-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent age medical science has improved to a significant height but lots of common known dieses needs maximum number of medical test that are not only expensive and but also inaccurate in proper diagnosis of the dieses in our paper we emphasized more on symptom rather than medical test . From a large domain of dieses we consider dengue fever . Every year millions of people died from dengue due to lack of proper diagnosis . We develop an algorithm using rough set concept, which emphasized more on symptom rather than medical test we divide the entire paper in to three basic section 1st section about literature review the 2nd section about the experiment on the data that are collected from different medical sources and the 3rd section is about the validation, conclusion and future work . The data collected from DR Pradeep Kumar mishra MD

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. Setiono, R. (2000). Generating concise and accurate classification rules for breast cancer diagnosis. Artificial Intelligence in Medicine, 18(3), 205–219
  5. Cheeseman, P. , and J. Stutz (1996). Bayesian classification (AutoClass): theory and results. In U. M. Fayyad
  6. Grzymala–Busse, J. , Z. Pawlak, R. Slowinski and W. Ziarko (1999). Rough sets. Communications of the ACM
  7. Hassanien, A. E. (2003). Classification and feature selection of breast cancer data based on decision tree algorithm
  8. 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
  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 Medical related data Granular computing Data mining.

Powered by PhDFocusTM