Please use this identifier to cite or link to this item:
https://publication.npru.ac.th/jspui/handle/123456789/810| Title: | A Comparison of Efficiency in Classifying Gaming Data using Data Mining Techniques |
| Authors: | Hmeanaui, Thiraporn Pechkonchom, Taveesa Lukkananuruk, Nitima Hengpraphorm, Kairung Hengpraphorm, Supojn |
| Keywords: | Feature Classification Decision Tree J48 JRIP |
| Issue Date: | 10-Jul-2020 |
| Abstract: | The aim of this research is to compare the efficiency of the suitable technique for gaming data classification. In the experiment, Weka 3.8.4 software is used with two data classification techniques: J48 and JRip to test with 3,196 gaming data with 37 features. The experimental results show that J48 gives the best result of the classification accuracy (99.43%). The second technique is JRip with the classification accuracy = 99.19% respectively. Therefore, J48 is the suitable technique for gaming data classification. |
| URI: | https://publication.npru.ac.th/jspui/handle/123456789/810 |
| Appears in Collections: | Proceedings of the 12th NPRU National Academic Conference |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| The 12th NPRU_20.pdf | 207.06 kB | Adobe PDF | View/Open |
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