A data mining approach for precise diagnosis of dengue fever
International Journal of Latest Trends in Engineering and Technology · 2016
Dengue is a eviscerate disease common in tropical countries.It is also known as break-bone fever.Dataset for dengue gives information about the patient suffering with the dengue disease.The Dataset consist of attribute like fever, bleeding, metallic taste, Fatigue.The main objective of this study is to calculate the performance of various classification Techniques and compare their performance.The classification techniques used in this study are REP Tree, J48, SMO, ZeroR and Random Tree.The performance of classification techniques were compared by plotting graphs and table.Weka the data mining tool is used for the classification.