Abstract: Weather forecasting is one of the applications of data mining technology to predict the state of atmosphere for a future time and a given location as regards heat, cloudiness, dryness, wind, rain, etc. This paper focuses some of the data mining techniques for prediction of future weather. Classification algorithms such as Decision Tree Induction, Naïve Bayesian and Back propagation can be used to predict future by applied on the different parameters of weather. Prediction of weather must be accurate and also the weather should be forecasted earlier will be helpful for many applications like agriculture, air traffic, military and so on.

Keywords: Data Mining, Classification, Prediction, Naïve Bayesian, Back Propagation.