Performance Evaluation of Naive Bayes and Decision Stump Algorithms in Mining Students' Educational Data

Provided by: International Journal of Computer Science Issues
Topic: Data Management
Format: PDF
Educational data mining is an emerging trend, concerned with developing methods for exploring the huge data that come from the educational system. This data is used to derive the knowledge which is useful in decision making which is known as Knowledge Discovery in Databases (KDD). EDM methods are useful to measure the performance of students, assessment of students and study students' behavior etc. In recent years, educational data mining has proven to be more successful at many of the educational statistics problems due to enormous computing power and data mining algorithms.

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