One of th
egreatest challenge that meteorological department faces are to predict weather accurately. These predictions are important because they influence daily life and also affect the economy of a state or even a nation. Weather predictions are also necessary since they form the first level of preparation against the natural disasters which may make difference between life and death. They also help to reduce the loss of resources and minimizing the mitigation steps that are expected to be taken after a natural disaster occurs. This research work focuses on analyzing algorithm on big data that are suitable for weather prediction and highlights the performance analysis with Random Forest algorithms in the spark framework.
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd29133.pdf
Paper URL: https://www.ijtsrd.com/computer-science/database/29133/weather-prediction-model-using-random-forest-algorithm-and-apache-spark/thin-thin-swe
pharmacy journal, open access journal of engineering, research publication
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