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Clustering and Classification in Support of Climatology to mine Weather Data – A Review

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Knowledge of climate data of region is essential for business, society, agriculture, pollution and energy applications. Climate is not fixed, the fluctuation in the climate can be seen from year to year.The data mining application help meteorological scientists to predictaccurate weather forecast and decisions and also provide more performance and reliability than any other methods. The data mining techniques applied on weather data are efficient when compare to the mathematical models used. Various techniques of data mining are applied on climate data to support weather forecasting, climate scientists, agriculture, vegetation, water resources and tourism. The aim of this paper is to provide a review report on various data mining techniques applied on weather data set in support of weather prediction and climate analysis.

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International Journal of Computing Algorithm, Vol 4(1), June 2015 ISSN(Print):2278-2397 Website: www.ijcoa.com Clustering and Classification in Support of Climatology to mine Weather Data – A Review S.Gokila1 , K. Ananda Kumar2 , A. Bharathi3 1 Research Scholar, Bharathiar University,Coimbatore, India 2 Department of MCA,BIT,Erode, India 3 Department of IT,BIT,Erode, India E-mail: goks_do@yahoo.co.in Abstract Knowledge of climate data of region is essential for business, society, agriculture, and pollution and energy applications. Climate is not fixed, the fluctuation in the climate can be seen from year to year. The data mining application help meteorological scientists to predict accurate weather forecast and decisions and also provide more performance and reliability than any other methods. The data mining techniques applied on weather data are efficient when compare to the mathematical models used. Various techniques of data mining are applied on climate data to support weather forecasting, climate scientists, agriculture, vegetation, water resources and tourism. The aim of this paper is to provide a review report on various data mining techniques applied on weather data set in support of weather prediction and climate analysis.

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