Host: 2017 ITE Winter Annual Convention
Name : 2017 ITE Winter Annual Convention
Date : December 12, 2017 - December 13, 2017
Weather data estimation is one of the most important issues for disaster management. As the size of the data, period of observation time and the number of influence factors become large and the model will be complex. In this paper, we focus on selecting the optimal feature for reducing data, time and computational complexity without suffering the accuracy. Experimental result shows that our proposed approach can select the valid features and have a good accuracy with smaller dataset and reduce the computational time.
