CFP last date
20 June 2024
Reseach Article

Event Detection and Pattern Recognition using Support Vector Machine in Meteorology

Published on September 2016 by Abhishek Jaswal, Yashwant Singh
Recent Innovations in Computer Science and Information Technology
Foundation of Computer Science USA
RICSIT2016 - Number 2
September 2016
Authors: Abhishek Jaswal, Yashwant Singh

Abhishek Jaswal, Yashwant Singh . Event Detection and Pattern Recognition using Support Vector Machine in Meteorology. Recent Innovations in Computer Science and Information Technology. RICSIT2016, 2 (September 2016), 20-23.

author = { Abhishek Jaswal, Yashwant Singh },
title = { Event Detection and Pattern Recognition using Support Vector Machine in Meteorology },
journal = { Recent Innovations in Computer Science and Information Technology },
issue_date = { September 2016 },
volume = { RICSIT2016 },
number = { 2 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 20-23 },
numpages = 4,
url = { /proceedings/ricsit2016/number2/26192-2028/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Proceeding Article
%1 Recent Innovations in Computer Science and Information Technology
%A Abhishek Jaswal
%A Yashwant Singh
%T Event Detection and Pattern Recognition using Support Vector Machine in Meteorology
%J Recent Innovations in Computer Science and Information Technology
%@ 0975-8887
%N 2
%P 20-23
%D 2016
%I International Journal of Computer Applications

Himachal Pradesh (India), having 85% of its population in rural areas produces 1 million tonnes of fruits yearly approximately, out of which 85-88% are Apples. But due to catastrophic nature of climate in the region, people across the state suffer severe damage to their crops causing huge financial loss every year. Anti Hail Guns firstly in India, were installed in Shimla district in particular apple growing areas, to prevent the damage to apples from Hailing. This Paper presents a credible Data Mining approach to discover the patterns and predict the formation of hails in clouds, so that guns can be fired accurately well in time reducing damage to fruit from hail and minimizing miss gun shots. Paper also presents the survey of work done in literature related to weather forecasting using data mining techniques. Support Vector Machine (SVM) a Data Mining algorithm have been implemented using different kernel functions upon 5 years weather data collected from the IMD (Indian Meteorological Department) Shimla to predict hailing. Performance and prediction accuracy of SVM with respect to all kernel functions and different size of training data have been analyzed to check the Sensitivity of the model.

  1. Fayyad, U. , Shapiro, G. , and Smyth, P. 1996. From data mining to knowledge discovery in databases. AI magazine 17, no. 3, pp. 37-54.
  2. Han, J. , Kamber, M. And Pei, J. 2011. Data mining: concepts and techniques. Elsevier.
  3. Petre, E. 2009. A Decision Tree for Weather Prediction. Buletinul, Vol. LXI No. 1, 2009 pp. 77-82.
  4. Jan, Z. , Abrar, M. , Bashir, S. and Mirza, A. 2008. Seasonal to inter-annual climate prediction using data mining KNN technique. In Wireless networks, information processing and systems, Springer Berlin Heidelberg, 2008, pp. 40-51.
  5. Kohail, S. And Halees, A. 2011. Implementation of Data Mining Techniques for Meteorological Data Analysis. IJICT Journal Volume 1 No. 3, 2011.
  6. S. Badhiye, S. , Chatur, P. N. And Wakode, B. 2012. Temperature and Humidity Data Analysis for Future Value Prediction using Clustering Technique: An Approach. International Journal of Emerging Technology and Advanced Engineering, 2250-2459, Volume 2, Issue 1, January 2012.
  7. Baboo, S. and I Shereef,I . "An Efficient Temperature Prediction System using BPN Neural Network. " International Journal of Environmental Science and Development 2, no. 1, 2011, pp. 49-54.
  8. Olaiya, F. and Adeyemo, A. 2012. Application of Data Mining Techniques in Weather Prediction and Climate Change Studies. I. J. Information Engineering and Electronic Business, 2012, pp. 51- 59.
  9. Yeon, S. , Sharma,S. ,Yu, B. , and Jeong,D. 2012. Designing a Rule-Based Hourly Rainfall Prediction Model. IEEE IRI 2012, August 2012
  10. Pabreja,K. 2012 . Clustering technique to interpret Numerical Weather Prediction output products for forecast of Cloudburst. International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 3 (1), 2996 - 2999, 2012.
  11. Prasad, N. , Kumar, P. and Naidu, M. 2013. An Approach to Prediction of Precipitation Using Gini Index in SLIQ Decision Tree. 4th International Conference on Intelligent Systems Modeling & Simulation (ISMS), IEEE, January 2013 pp. 56-60.
  12. Saxena, A. , Verma, N. and Tripathi, K. 2013. A review study of weather forecasting using artificial neural network approach. International Journal of Engineering Research and Technology, Vol. 2. No. 11 ESRSA Publications, 2013.
  13. Naik, A. And Pathan, S. 2012. Weather Classification and forecasting using Back Propagation Feed-forward Neural Network. International Journal of Scientific and Research Publicationsvol2 no. 12, 2012.
  14. Kaur, G. 2012. Meteorological Data Mining Techniques: A Survey. International Journal of Emerging Technology and Advanced Engineering, Volume-2, Issue-8, August 2012,pp. 325-327,
  15. Ghosh, S. , Nag, A. , Biswas,D. , Singh, J. , Biswas, S. , Sarkar, D. and Sarkar, P. 2011. Weather data mining using artificial neural network. In Recent Advances in Intelligent Computational Systems. IEEE 2011 pp. 192-195
  16. Kalyankar, M. and Alaspurkar, S. 2013. Data Mining Technique to Analyze the Metrological Data. International Journal of Advanced Research in Computer Science and Software Engineering 3(2), February – 2013, pp. 114-118.
  17. Ganguly, A. and Steinhaeuser, K. 2008. Data mining for climate change and impacts. IEEE International Conference on Data Mining Workshops, 2008,pp. 385-394
  18. Japkowicz, N. and Shah, M. 2011. Evaluating Learning Algorithms: A Classification Perspective. First Edition, Cambridge University Press, 2011.
  19. Rokach, L. And Maimon, O. 2014. Data mining with decision trees: theory and applications" World scientific, 2014.
  20. Holmes, G. , Donkin, A. And Witten, I. 1994. Weka: A machine learning workbench", Proceedings of the 1994 Second Australian and New Zealand Conference on Intelligent Information Systems, IEEE1994.
  21. Radhika, Y. and Shashi, M. 2009. Atmospheric temperature prediction using support vector machines. International Journal of Computer Theory and Engineering, 2009, 1(1), p. 55.
  22. Rani, R. And Rao, T. 2013. An Enhanced Support Vector Regression Model for Weather Forecasting. IOSR Journal of Computer Engineering (IOSR-JCE), 2013, pp. 2278-0661.
  23. Rao, T. , Rajasekhar, N. and Rajinikanth, D. An efficient approach for Weather forecasting using Support Vector Machines" In Proceedings International Conference Computer Technology Science (ICCTS), Vol. 47, pp. 208-212.
  24. www. amssdelhi. gov. in/news events/ Shimla climate. pdf
Index Terms

Computer Science
Information Sciences


Svm Ann Hail Anti Hail Gun Prediction.