Weather Temperature Prediction Based on Data Mining Techniques

Abstract

Weather prediction is an anxious work for researchers and has completed a lot of research interest in the last few years. It has been a demand application of climatology and one of the specialized challenging problems in the world. Meteorological Department are working very hard day by day to improve the accuracy. But none of them become hundred percent successful. So, it is a continuous process and we decided to involve ourselves in this challenge. In our case, we have investigated about different techniques in weather prediction. Finally we intend to use data mining technique in our research. This paper comes up with a current method to increase a fitness-oriented architecture for the weather notification systems which predict whether using these data mining techniques. Our main approach to apply different classification algorithm on a bulk of realistic data and watch any major difference among their output of prediction. More precisely we always tried to choose the best algorithm. We observe their behavior using graphical interface. Most of the case we got Support Vector Machine to fulfil our satisfied output. Then we have studied how the Support Vector Machine works in classification and what is the internal infrastructure of it. We were trying to improve this algorithm and proposed a better version.