doi: 10.18178/ijiet.2018.8.1.1006
The Use of Multiple-Classifier Data Mining Technique for Study Guideline
Teerasak Sungsri
Abstract
The purpose of this research is to recommend appropriate courses for students which use multiple-classifier data mining techniques to assist in the work. The process of creating a predictive model use Weka as a tool to build a model. Data classification techniques for finding answers and include results from the prediction of an individual's classifier techniques have majority votes. By segmenting the data used in the research into three groups based on the amount of data. The research found that recommended course, using multiple-classifier data mining techniques has worked with more accurate than using single data mining techniques. We have shown that the most accurate of 72%. In addition, also found the accuracy of the recommend is increased when the amount of data that is used to increase.
Keywords
- Data mining
- classification
- multiple classifier
- education
How to Cite
Teerasak Sungsri, "The Use of Multiple-Classifier Data Mining Technique for Study Guideline," International Journal of Information and Education Technology, vol. 8, no. 1, pp. 22-25, 2018. https://doi.org/10.18178/ijiet.2018.8.1.1006
Copyright & License
Copyright © 2018 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).