Pattern Visualization on Meteorological Data for Rainfall Prediction Model
نویسندگان
چکیده
Regional rainfall forecast is an important task for meteorologists. While statistical methods are usually in vogue, for this, the concept of data mining is applied to see the efficacy. The objective of this work is to develop a forecast method for the rainfall of the Northeast (NE) season over the Cauvery delta region of South India. There are three main parts in this work. The first part is in loading the meteorological data into centralized server so that it can be extracted and filtered according to our needs. Secondly, graphical visualization has been applied by using gnuplot. And finally the association rules have been mined from those former outputs. From these results we can assess the monthly and seasonal rainfall for the future. Results show that overall accuracy of this approach is satisfactory.
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