Hybrid classification method for dengue prediction

Abstract

Data mining is defined as the process in which useful information is extracted from the raw data. In order to acquire essential knowledge it is essential to extract large amount of data.. In this existing work, the technique of SVM is applied for the prediction of dengue. The SVM classifier has less accuracy and high execution time for the prediction. To improve the accuracy of prediction the voting based classification approach will be applied for the dengue prediction. The proposed method will be implemented in python and results will be analyzed in terms of accuracy, precision, recall and execution time.