Classification of dengue dataset using J48 algorithm and ant colony based AJ48 algorithm

摘要

This research work manages productive data mining methodology for predicting the dengue from medicinal records of patients. Dengue is an extremely regular disease nowadays in all populations and in all age gatherings. Dengue to coronary disease and builds the dangers of creating kidney ailment, nerve harm, vein harm and visual deficiency. So mining the dengue data in a productive way is a basic issue. The Dengue Dataset collected on Krishnagiri district Government Hospital is utilized as a part of this paper; which gathers the data of patients with and without having dengue. The modified J48 classifier is utilized to build the precision rate of the data mining system. The data mining tool WEKA has been utilized for creating the modified J48 classifiers. Exploratory outcomes demonstrated a noteworthy change over the current J48 algorithm [1].