ABSTRACT
Even with the recent century's enormous advancements in science and technology, forecasting the weather remains a very difficult undertaking. In the past ten years, data mining techniques and applications have advanced significantly. Several scholars have investigated the effective use of data mining technologies in predicting climate and weather change. The important characteristics that are essential for data mining methods to be integrated into forecasting weather models are discussed in the paper. This paper's major goal is to present a thorough comparative examination of the benefits, drawbacks, and outcomes of existing data mining approaches used to weather forecasting model. And also the comparative analysis is done based on the obtained results using different algorithms.
