Implementation of Data Mining Techniques to Classify New Students into their Classes: A Bayesian Approach

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
In educational organizations the classification of new students into appropriate classes is a very challenging task presently. The smartest/intelligent students maybe clustered with the least intelligent in a same class. This problem may be solved by the use of bayesian classification technique which considers the academic achievements of the students. In this paper an attempt has been made to explore bayesian classification to solve the allocation problem of new students. Based on this paper it is suggested that performance of bayesian classification technique is more suitable compared to rest of techniques such as genetic algorithm method.
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