The whole world is suffering from the changing clement and their side. To reduce this side effects up to some extent there are many techniques and algorithms through which we can predict the weather on the basis of given data. After doing the analysis of existing techniques we conclude that data mining technique enable us to analyze the given set of data and extract the useful information from the given data. Therefore in order to understand the fluctuating patterns of weather conditions, a predictive model is studied. In this paper, we are using incremental K-means cluster algorithm which groups the same type data sets together and to prefigure the data we are using R-tool that gives structural data. At the end, result will be calculated on the basis of some mathematical conditions.
CITATION STYLE
Kaur, S. (2017). BIG DATA AND ANALYSIS OF WEATHER FORECASTING SYSTEM. International Journal of Advanced Research in Computer Science, 8(7), 176–179. https://doi.org/10.26483/ijarcs.v8i7.4149
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