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Abstract
The aim of this work is to examine the performance of different classification techniques. A dengue disease can cause severe damages to the society. Hence, it is critical to predict a dengue disease in advance to minimalize the damage and loss caused by the disease. The clinical documents maintained are a pool of information regarding the infected patients. By keeping this voluminous data we can predict the future occurrences of the disease earlier and safe guard the people. Dengue the global problem is common in more than 110 countries. Dengue infection has endangered 2.5 billion populations all around the world. Every year there are 50 million people who suffer from it globally. Dengue fever is a vector borne disease caused by the female Aedes Aegypti and Aedes Albopictus mosquitoes which adapt well to human environments. Data mining is a well-known technique used by health organizations for classification and prediction of diseases.