• Prof. Shubhangi G. Malas
• Prof. Pavan N.Mundhare

Climate estimating is a crucial application in meteorology and has been a standout amongst the most logically and innovatively difficult issues the world over in the only remaining century. In this paper, we explore the utilization of information mining systems in estimating most extreme temperature, precipitation, vanishing and wind speed. This was done utilizing Artificial Neural Network and Decision Tree calculations and meteorological information gathered somewhere in the range of 2000 and 2009 from the city of Ibadan, Nigeria. An information display for the meteorological information was created and this was utilized to prepare the classifier calculations. The exhibitions of these calculations were looked at utilizing standard execution measurements, and the calculation which gave the best outcomes used to produce grouping rules for the mean climate factors. A prescient Neural Network show was likewise created for the climate expectation program and the outcomes contrasted and genuine climate information for the anticipated periods. The outcomes demonstrate that given enough case information, Data Mining procedures can be utilized for climate estimating and environmental change considers.

Weather Prediction, Data Mining, Artificial Neural Networks, Decision Trees.

"WEATHER PREDICTION AND CLIMATE CHANGE STUDIES USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.108-112, April-2019, Available :http://www.jetir.org/papers/JETIRBD06022.pdf

"WEATHER PREDICTION AND CLIMATE CHANGE STUDIES USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp108-112, April-2019, Available at : http://www.jetir.org/papers/JETIRBD06022.pdf