Detection of Rare Patterns in Climate Change Using Data Mining Techniques
Today, the volume of data has been enormously increasing as a result of advances in data generation, collection and storage technologies. The effect of climate prediction on society, business, agriculture and almost all aspects of human life, force the scientist to give proper attention to the matter. Weather is a continuous, data intensive, multidimensional, dynamic process that makes weather forecasting a formidable challenge. The prediction of rare events is a pressing scientific problem. The authors primarily concentrate to identify weather patterns in the long term while consistent with global climate change on weather patterns, identify rare/outlying patterns that coincide with rare events data mining.