Creation of an Adaptive Classifier to enhance the classification accuracy of existing classification algorithms in the field of Medical Data Mining

Data Mining is the process of discovering interesting patterns and knowledge from large amounts of data. One of the most important techniques of Data Mining is classification which is used for prediction purposes. In this paper, we present a novel classifier for classification in the field of Medical Data Mining. The idea is to apply the Adaptive Classifier on the sample medical dataset, and compare its results with the results obtained through the individual classification techniques. This approach has been implemented and tested to show higher classification accuracy for the Adaptive Classifier. The results obtained have lit a great spark for future investigation.