Survey on Weather Forecasting Using Data Mining

Abstract

Weather forecasting is a method to predict what the atmosphere will be like in a particular place by using scientific knowledge to make the weather observations. In other words, it’s a way of predicting things like cloud cover, rain, snow, wind speed and temperature before they happen. Perfect weather predictions are needed for daily activities and it was one of the main challenging problem facing throughout the world because it consists of multidimensional and nonlinear data. As per the survey the various methods and algorithms used for weather prediction in the field of data mining are supervised and unsupervised machine learning algorithms, Artificial neural network, Support Vector Machine,FP Growth Algorithm,hadoop with map reduces, K-medoids algorithm, Naive Bayes algorithm and decision tree classification algorithm.