预测教育环境中学生认知技能的分类技术比较

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI:10.1109/ICCIC.2014.7238346

M. Mayilvaganan, D. Kalpanadevi

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引用次数: 18

摘要

提出的方法包括比较预测学生认知技能的分类技术，这些分类技术可以通过进行在线测试来评估。通过在Rapid miner上的实验，重点比较了C4.5算法和Naïve贝叶斯分类器算法的性能，其中C4.5算法非常适合预测专业技能的准确性。

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Comparison of classification techniques for predicting the cognitive skill of students in education environment

The proposed methodology involves to compares classification techniques for predicting the cognitive skill of students which can be evaluate by conducting the online test. The paper focuses the comparative performance of C4.5 algorithm, Naïve Bayes classifier algorithm which one is well suited accuracy for predicting the skill of expertise by experimenting in Rapid miner.

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2014 IEEE International Conference on Computational Intelligence and Computing Research

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