Abstract
Multi-attribute hierarchical models for the prediction of final academic achievement in a particular high school educational program were developed by a sequential application of data mining and decision support methods. A database of pupils’ achievements was first analyzed by different data mining methods. Then the findings were incorporated into expert-developed decision support models. The predictive accuracies of these models were comparable to that of experienced human experts.
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Gasar, S., Bohanec, M., Rajkovič, V. (2003). A Combined Data Mining and Decision Support Approach to Educational Planning. In: Mladenić, D., Lavrač, N., Bohanec, M., Moyle, S. (eds) Data Mining and Decision Support. The Springer International Series in Engineering and Computer Science, vol 745. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0286-9_17
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DOI: https://doi.org/10.1007/978-1-4615-0286-9_17
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