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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
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.
Appears in Collections:Proceedings of the 12th NPRU National Academic Conference

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