Iqra Jahangir
Abasyn University Islamabad Campus, Pakistan
Title: Comparison of Random Tree and J48 for the Prediction of Dengue Fever through Data Mining
Biography
Biography: Iqra Jahangir
Abstract
Data mining is a procedure, which is used to renovate useless data into useful information. Multiple techniques are a part of data mining which can be used in various fields. Most important purpose for me is Healthcare. Dengue, is a threatening ailment and it is triggered by the bite of a female mosquito. Pakistan has been a prey of this ailment from a couple of years. Life of many people is scarce from it. Lives of the peoples can be protected if the dengue is predicted in early stages. This research will present a dengue prediction methodology by comparing data mining technique such as J48 and Random tree. First, the data was gathered then it was used in Weka data mining tool by applying J48 and Random Tree. The results derived from these classifiers were supplementary used for the prediction of dengue. Generated results were able to identify that Random tree shows higher accuracy as compared to J48.