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Abstract
In this paper, we combined the Kohonen self-learning algorithm, genetic algorithm and information matrix to discover the rules from conceptual clusters present implicitly in large databases. We applied the proposed algorithm to a database containing the result of learning of more than 1000 high school students in Bien hoa, Dong nai to discover the rules supporting the training of the outstanding students.
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Article Details
Issue: Vol 2 No 4&5 (1999)
Page No.: 28-38
Published: May 31, 1999
Section: Article
DOI: https://doi.org/10.32508/stdj.v2i4&5.3627
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Kiem, H., & Phuc, D. (1999). USING DATA MINING IN EDUCATION AND TRAINING. Science and Technology Development Journal, 2(4&5), 28-38. https://doi.org/https://doi.org/10.32508/stdj.v2i4&5.3627
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