Jai Ruby , K. David
In modern days, Educational Data Mining has grown into a research realm. The need of the Educational Institutions has grown to an extent that it has to study and analyze its stake holder’s quality to be competitive. Among the various aspects of educational field, the academic performance of students and the results produce are the vital parameters which determine the quality of the Institution. In higher education institutions a significant amount of information is concealed and need to be extracted using Knowledge Discovery process. Data mining helps to extract the knowledge from available dataset and should be created as Knowledge Intelligence for the benefit of the institution. Various Data mining classification algorithms help to extract the knowledge. The study model is mainly focused on deriving a intelligent training dataset and use it for prediction with well known classification Algorithms like MLP and ID3.
Educational Data Mining, Academic Performance, Higher Education, Prediction, Classification, Multi Layer Perceptron, ID3, Training Dataset.