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Data Evaluation and Knowledge Extraction for Students Using Clustering and Classification

This paper describes a methodology for classifying students planning for pursuing higher education in abroad countries on basis of their academic, GRE, TOEFL, IELTS, GMAT marks and also by grading their extracurricular activities. Starting from collection of databases, which was a result of survey, Data Mining (DM) techniques will be used to discover a set of students having similar academic profiles who got admits from the various universities, thus gaining information about the prospective universities that the students can apply for getting the admits. Past data collected of the students will be clustered using Two Step Clustering Algorithm to create clusters of universities according to each student’s profile criteria. Then this knowledge will be used by the classification module to classify new students into the previously obtained classes. Keywords—Data Mining, Classification, Two Step Clustering Algorithm.