Data Evaluation and Knowledge Extraction for Students Using Clustering and Classification

Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
In this paper, the authors describe 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.

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