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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 3, MARCH 2015

Weather Forecasting and Climate Changing Using Data Mining Application

Ankita Joshi, Bhagyashri Kamble, Vaibhavi Joshi, Komal Kajale, Nutan Dhange

DOI: 10.17148/IJARCCE.2015.4305

Abstract: Weather forecasting is an important application in meteorology and has been one of the most scientifically and technologically challenging problems around the world. In this paper, we investigate the use of data mining techniques in forecasting maximum temperature, rainfall, evaporation and wind speed. Weather prediction approaches are challenged by complex weather phenomena with limited observations and past data. Weather phenomena have many parameters that are impossible to enumerate and measure. Increasing development on communication systems enabled weather forecast expert systems to integrate and share resources and thus hybrid system has emerged. Even though these improvements on weather forecast, these expert systems can�t be fully reliable since weather forecast is main problem.

 



Keywords: �Weather Prediction, Data Mining, Weather Conditions, Decision Trees

How to Cite:

[1] Ankita Joshi, Bhagyashri Kamble, Vaibhavi Joshi, Komal Kajale, Nutan Dhange, “Weather Forecasting and Climate Changing Using Data Mining Application,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4305