Data Mining Techniques for Wind Speed Analysis

Weather Data Mining is a form of Data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. In this paper we used meteorological data mining to analyze wind speed behavior. The data was recorded between 2004 to November 2006 daily historical data by meteorological station of Gaza. After preprocessing the data, we applied data mining techniques: association rules, classification, cluster and outlier analysis. From these four tasks, we found the most appropriate of these techniques to be applied on weather data is classification task, especially the neural networks method because the nature of the data is time series