Predicting Students' Academic Failure Using Data Mining Techniques

Provided by: Creative Commons
Topic: Data Management
Format: PDF
In this paper, proposes predicting student's academic failure using data mining techniques. Real time data of school or graduating students from an institute is taken and various data mining techniques (classification algorithms), such as induction rules, decision trees and naive Bayes are applied on it. The results of these algorithms are being compared and optimized for foretelling which students might fail in future. They first consider all the available attributes of students, then select few best attributes and finally, rebalance the data using classification algorithms.

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