Abstract
The Weather forecast is used to predict the atmospheric condition such as rain, wind, heat, pressure, humidity etc. It is very useful especially in agriculture, air traffic and military purposes. Weather forecast is done by analysis on bulk data, received from the satellite for specific purpose. It is a very tedious and time taking for analysis on such a huge volume of data. Now a day, Data miming is very popular to handle such type of data. Some algorithm like Back Propagation, Naïve Bayesian and Decision Tree Induction is being used to predict the weather condition on diverse parameters. Here, we are proposing Cumulative Distribution Function (CDF) for modeling and analysis of complex data for weather prediction. This method gives us the better accuracy in case of climate change in near future.
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Mahmood, M.R., Patra, R.K., Raja, R., Sinha, G.R. (2019). A Novel Approach for Weather Prediction Using Forecasting Analysis and Data Mining Techniques. In: Saini, H., Singh, R., Kumar, G., Rather, G., Santhi, K. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-13-3765-9_50
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DOI: https://doi.org/10.1007/978-981-13-3765-9_50
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