Comparisons of classifier algorithms: Bayesian network, C4.5, decision forest and NBTree for Course Registration Planning model of undergraduate students

The success rate of computer science and engineering students in private universities are not high. It is helpful to find the model to assist students in registration planning. The objective of this research is to propose the classifier algorithm for building course registration planning model (CRPM...

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Bibliographische Detailangaben

Hauptverfasser:	Pumpuang, P., Srivihok, A., Praneetpolgrang, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Bayesian Network Classifier Computer science Computer science education Course Registration Planning Model Data analysis Data mining Decision Forest Decision trees Information technology NBTree Noise cancellation Path planning Predictive models
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