Efficient analysis of meteorological data based on humidity level and cyclone level using naïve bayes classification algorithm

The aim of this research work, focus meteorological data to analyses the monsoon seasons between twelve months to cluster the weather data based on Longitudinal and Latitudinal which can be used to analyze by the collection of Temperature, Humidity, Rainfall and Cyclone. In this research, Naïve Bayes Classification can be predicted the Meteorological condition of the region based on the cyclone and the humidity level in seasonally. It provides specific services for assessment of pollution impacts from various industries and thermal power plants. The atmospheric correlations play a significant role in determining the climate trends which are crucial in understanding the short and long-term trends in climate.