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Reseach Article

E – Governance: A Successful Implementation of Government Policies using Cloud Computing

Published on November 2011 by Rashmi Sharma, Anurag Sharma, Dr. U.S. Pandey
International Conference on Web Services Computing
Foundation of Computer Science USA
ICWSC - Number 1
November 2011
Authors: Rashmi Sharma, Anurag Sharma, Dr. U.S. Pandey
96f11bdd-e98d-4a03-8a2a-9fa11a3c9641

Rashmi Sharma, Anurag Sharma, Dr. U.S. Pandey . E – Governance: A Successful Implementation of Government Policies using Cloud Computing. International Conference on Web Services Computing. ICWSC, 1 (November 2011), 27-29.

@article{
author = { Rashmi Sharma, Anurag Sharma, Dr. U.S. Pandey },
title = { E – Governance: A Successful Implementation of Government Policies using Cloud Computing },
journal = { International Conference on Web Services Computing },
issue_date = { November 2011 },
volume = { ICWSC },
number = { 1 },
month = { November },
year = { 2011 },
issn = 0975-8887,
pages = { 27-29 },
numpages = 3,
url = { /proceedings/icwsc/number1/3973-wsc006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Web Services Computing
%A Rashmi Sharma
%A Anurag Sharma
%A Dr. U.S. Pandey
%T E – Governance: A Successful Implementation of Government Policies using Cloud Computing
%J International Conference on Web Services Computing
%@ 0975-8887
%V ICWSC
%N 1
%P 27-29
%D 2011
%I International Journal of Computer Applications
Abstract

Data mining is applied in medical field since long back to predict disease like diseases of the heart, lungs and various tumors based on the past data collected from the patient. In India, though the data collection of medical patient is not streamlined, we made an effort to predict the most widely spread disease in India named tuberculosis. Using data collected from various TB centers, we made an effort to fetch out hidden patterns and by learning this pattern through the collected data for tuberculosis we can diagnose and predict the disease. In the research work we are comparing naïve bayes classifier and KNN, two the most effective techniques for data classification (especially for medical diagnoses), implemented using C language and using Weka tool respectively and classify the patient affected by tuberculosis into two categories (least probable and most probable). We have used 19 symptoms of tuberculosis and collect 154 cases. We have achieved nearly 78% accuracy with low false negative.

References
  1. Manish Pokharel and Jong Sou Park, “Cloud Computing Future solution for e-Governance”
  2. Cloud computing-Resource management for effective E-governance – Savita Bhatnagar.
  3. (2009) Government of India portal.
  4. Online Available http://www.india.gov.in
  5. Pant Durgesh, Sharma M.K ,”Cloud Computing “, CSI Communication-2009,pp10-13,Vol-32,Issue 10.
  6. Discovery Programme on Cloud Computing that is Speed of Life, Factory Made.
  7. L. Ulanoff, “Google's cloud: 8 key questions,” PC Magazine, February, 2009.
  8. “Cloud Computing for E-Governance” A white paper, IIIT Hyderabad, India.
  9. Heek, R., “Implementing and Managing E-Government,” Vistaar Publication, 2006.
  10. Janssen, M., “Cressworld Anthony Enterprise Architecture Integration in E-Government,” Proc. of 38th Hawaii International Conference on System Sciences, 2005
  11. Maria, A. F., Fenu, G., and Surcis, S., “An Approach to Cloud Computing Network,” Proceedings of the 3rd International Conference on Theory and Practice of Electronic Governance, Bogota, Colombia, vol.322, pp. 409- 410, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing e – Governance G2G G2B G2C G2E