Please use this identifier to cite or link to this item:
https://publication.npru.ac.th/jspui/handle/123456789/809| Title: | A Comparison of Animal Type Classification Efficiency using Data Mining Techniques |
| Authors: | Lukkananuruk, Nitima Maneesuk, Jarukit Hoonthong, Wipawadee Hengpraphorm, Kairung Hengpraphorm, Supojn |
| Keywords: | Classification Decision Tress J48 JRIP |
| Issue Date: | 10-Jul-2020 |
| Abstract: | The aim of this research is to compare the efficiency of appropriate with the animal classification techniques. Two data classification techniques: JRIP and Decision Tree (J48) are used to find the efficiency of animal classification. The experimental results show that Decision Tree (J48) provides the best classification accuracy for animal data (the accuracy of data classification = 97.08%). The second technique is JRIP which provides the accuracy of data classification = 87.13% respectively. |
| URI: | https://publication.npru.ac.th/jspui/handle/123456789/809 |
| Appears in Collections: | Proceedings of the 12th NPRU National Academic Conference |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| The 12th NPRU_19.pdf | 205.24 kB | Adobe PDF | View/Open |
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