WEATHER FORECASTING USING DATA MINING

Abstract

Forecasting weather is one of the greatest challenges in meteorological department. Weather prediction is necessary so as to inform people and prepare them in advance about the current and upcoming weather condition. This helps in reduction in loss of human life and loss of resources and minimizing the justification steps that are expected to be taken after a natural disaster occurs. So we want to develop a system which can predict the weather condition including temperature, humidity and wind speed. We study various techniques and algorithms that are likely to be chosen for weather prediction and highlight the performance analysis of those algorithms like as ANN, Linear Regression, Decision tree, Time series analysis. From those algorithms we selected Linear Regression as the outcome is very efficient close to real time data. These techniques are discussed that are used to boost the performance of the application. After a comparison between the data mining algorithms and corresponding collective technique used this algorithm to boost the performance, a classifier (Decision tree) is obtained that will be further used to predict weather outcome. Applications used to Predict and forecast the weather condition of specific region based on the available pre historical data which helps to save resources and prepare for the changes forth coming. And finally we develop a web based system using these algorithms to visualize and so that people can use it as a predictive system. Our system has some limitation too such as real time data set in weather for Bangladesh is not available everywhere. Therefore, we think this system will help efficiently in the era of weather prediction.