Kamran Shaukat

Kamran Shaukat
IT Department,
Jhelum Campus
Pakistan

Publications
  • Research Article
    Dengue Fever Prediction: A Data Mining Problem
    Author(s): Kamran Shaukat, Nayyer Masood, Sundas Mehreen and Ulya AzmeenKamran Shaukat, Nayyer Masood, Sundas Mehreen and Ulya Azmeen

    Dengue is a threatening disease caused by female mosquitos. It is typically found in widespread hot regions. From long periods of time, Experts are trying to find out some of features on Dengue disease so that they can rightly categorize patients because different patients require different types of treatment. Pakistan has been target of Dengue disease from last few years. Dengue fever is used in classification techniques to evaluate and compare their performance. The dataset was collected from District Headquarter Hospital (DHQ) Jhelum. For properly categorizing our dataset, different classification techniques are used. These techniques are Naïve Bayesian, REP Tree, Random tree, J48 and SMO. WEKA was used as Data mining tool for classification of data. Firstly we will evaluate the performance of all the techniques separately with the help of tables and graphs depending upon data.. View More»
    DOI: 10.4172/2153-0602.1000181

    Abstract PDF