Enhancement of classification accuracy of our Adaptive Classifier using image processing techniques in the field of Medical Data Mining

Medical Data Mining is one of the most challenging fields of Data Mining. The greatest challenge lies in classifying the diseases with high classification accuracy. In this research work, image processing techniques have been used on the advanced version of our Adaptive Classifier, to generate categories for the attributes of sample medical datasets. The advanced version of our Adaptive Classifier has been generated using the techniques of Clustering Data Mining in conjunction with Classification Data Mining. The proposed approach works upon the sample medical datasets, and compares the results of our Adaptive Classifier with the results of its constituent classifiers. The experimental results generated showed higher classification accuracy for our Adaptive Classifier, which has rightly aroused the curiosity required for further analysis.