Weather Data Mining is a form of Data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. In this paper we used meteorological data mining to analyze wind speed behavior. The two years data was recorded from 2010 - 2011 daily historical data by 50m instrumented meteorological station at Sathyabama University. After preprocessing the data, we applied data mining techniques: Association rules, Classification, and Cluster analysis. From these tasks, we found the most appropriate of these techniques to be applied on weather data is classification task, especially the neural networks method because the nature of the data is time series.

1. Marwa F. AlRoby, Alaa M. ElHalees, Data Mining Techniques for Wind Speed Analysis,Journal of Computer Engineering Vol 2, No 1 (2011)
2. Sreelakshmi K, Ramkanthakumar, P. , 2008. "Neural Networks for shortterm wind speed prediction". World Academy of Science, Engineering and Technology 42, 721725.
3. Mrs. C. Beulah Christalin Latha, Dr. (Mrs. ) Sujni Paul, Dr. E. Kirubakaran, Mr. Sathianarayanan, Int. J. of Advanced Networking and Applications 608 Volume: 02, Issue:02, Pages:608-613 ( 2010) A Service Oriented Architecture for Weather Forecasting Using Data Mining
4. Folorunsho Olaiya, Adesesan Barnabas Adeyemo, Application of Data Mining Techniques in Weather Prediction and Climate Change Studies, I. J. Information Engineering and Electronic Business, 2012, 1, 51-59 Published Online February 2012 in MECS
5. Muhammad Shaheen, Muhammad Shahbaz, Khalid Afsar Khan Jadoon, Data Mining For Wind Energy Site Selection Proceedings of the World Congress on Engineering and Computer Science 2012 Vol I WCECS 2012, October 24-26, 2012, San Francisco, USA
6. Lionel Fugon , J_er_emie Juban and George Kariniotakis,European Wind Energy Conference - Brussels, Belgium, April 2008, Data mining for wind power forecasting
7. Andrew Kusiak*, Haiyang Zheng and Zhe Song, Wind Farm Power Prediction: A Data-Mining Approach, WIND ENERGY Wind Energ. 2009; 12:275–293 Published online 24 September 2008 in Wiley Interscience (www. interscience. wiley. com) DOI: 10. 1002/we. 295
8. Sarah N. Kohail, Alaa M. El-Halees Implementation of Data Mining Techniques for Meteorological Data Analysis Volume 1 No. 3, July 2011 ISSN-2223-4985 International Journal of Information and Communication Technology Research
9. Godfrey C. Onwubolu1, Petr Buryan2, Sitaram Garimella3, Visagaperuman Ramachandran4, Viti Buadromo5and Ajith Abraham6 IADIS European Conference Data Ming 2007, SELF-ORGANIZING DATA MINING FOR WEATHER FORECASTING,ISBN: 978-972-8924-40-9 © 2007 IADIS

Data Mining Wind Speed Association Rules Classification Cluster