A Data Mining Approach to Classify Higher Education Sector Data Using Bayesian Classifier

The Data Mining terminology is a proficient mechanism for the process of academic data intervention. The process of Mining in education sector data is called Educational Data Mining (EDM). EDM is pertained with formulating new methodologies to expose cognition from educational sector data and can utilized for making wise decision in the educational system. The existing software tools of data mining holds commercial pattern identification schemes and is useful for the data classification process in the domain based research centres. The existing data mining terminologies works with large datasets and offers efficient clusters and classification over the datasets. The proposed research work deals the data of educational system and effectively performs the classification process and predicts the class label “Research Status” of the educational sector data. For the prediction methodology the naive Bayesian classification procedure is to be incorporated in the proposed research work and the outcomes states that the Bayesian mechanism improves the classification accuracy and effectiveness of the Higher Education Sector data.