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A New Approach for Weather Forecasting in Maharashtra State by using Data Mining


Ashwini Vinod Ghumade , VIDARBHA INSTITUTE OF TECHNOLOGY,NAGPUR,MAHARASHTRA,INDIA; Pranita Laddhad, Vidarbha Institute of Technology,Nagpur; Pravin Kullurkar, Vidarbha Institute of Technology,Nagpur


Association Rule Mining (multiple data sets), Hybrid Model, Data Mining


In recent past we have observed the problem of Climate change which is badly affecting the agriculture sector of our country and this leads to the decline of economy. Weather forecasting is data mining technique to forecast atmosphere of future time and location related to soil, temperature, heat, cloudiness, wind, crop, dryness, rain etc. In the past many attempts have been made to forecast weather to get better results but it is difficult to get accuracy of results. This paper focuses on upgrading the technique of data mining to next level so that final result should be nearer to real value. There are many techniques of data mining and in this paper data mining algorithms such as Association rule mining & Hybrid model techniques are used weather forecasting to carry agricultural practices in particular region. Thus weather forecasting becomes an important factor for agricultural country like India.

Other Details

Paper ID: IJSRDV4I90427
Published in: Volume : 4, Issue : 9
Publication Date: 01/12/2016
Page(s): 887-889

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