• Prashansa Taneja
• Ms. Nisha Gautam

The data mining is the technique to analyze the complex data. The prediction analysis is the technique which is applied to predict the data according to the input dataset. There is an increase in the growth of data, its gathering as well as storing it in huge databases. It is no more in the hands of humans to do it easily or without the help of analysis tools. There are certain data archives created here which can be visited when the data is required. The insightful, interesting and novel patterns of data are discovered from large-scale data sets using the data mining. In this existing work, the dataset used is downloaded from Kaggle. The Preprocessed dataset consists of 1,874 records. In this paper, SVM classifier 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.

Dengue Prediction, SVM, Hybrid Classifier

"Analysis of Dengue Prediction Techniques: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.610-615, June 2019, Available :http://www.jetir.org/papers/JETIR1906L89.pdf

"Analysis of Dengue Prediction Techniques: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp610-615, June 2019, Available at : http://www.jetir.org/papers/JETIR1906L89.pdf