Abstract

One of the greatest 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. Thin Thin Swe | Phyu Phyu | Sandar Pa Pa Thein "Weather Prediction Model using Random Forest Algorithm and Apache Spark" 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

Authors and Affiliations