Diagnosis and Prognosis of Oral Cancer using classification algorithm with Data Mining Techniques

Abstract

Data mining is the process of researching data from different view points and condensing it into useful information. There are several types of algorithms in data mining such as Classification algorithms, Regression, Segmentation algorithms, association algorithms, sequence analysis algorithms, etc.,. The classification algorithm can be used to bifurcate the data set from the given data set and foretell one or more discrete variables, based on the other attributes in the dataset. Our method of creating new algorithm GA+ID3 easily identifies oral cancer data set from the given data set. The genetic based ID3 classification algorithm diagnosis and prognosis of oral cancer data set is identified by this paper.