An Analysis Of Applications Of Data Mining In Weather Forecasting









Abstract

Climate change is becoming a serious impact nowadays on the environment. Climate change refers to extreme changes in weather conditions. It leads to major threat for human beings. The drastic changes in weather, makes people difficult in predicting the climatic conditions. Therefore, highly scientific techniques like Machine learning algorithms are required to predict the weather conditions. Many tools and techniques are available to collect the weather data. Out of the several techniques used for weather forecasting, data mining approach is considered as the most feasible approach. This paper makes an analysis of the various applications of data mining in weather forecasting. Keywords: Machine Learning.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL