Optimization of Decision Tree Algorithm in Text Classification of Job Applicants Using Particle Swarm Optimization

2020 ◽  
Author(s):  
Wikan Kuncara Jati ◽  
L. Kemas Muslim
Keyword(s):  
Particle Swarm Optimization ◽  
Decision Tree ◽  
Text Classification ◽  
Particle Swarm ◽  
Job Applicants ◽  
Decision Tree Algorithm ◽  
Swarm Optimization ◽  
Tree Algorithm

scholarly journals Optimizing decision tree using particle swarm optimization to identify eye diseases based on texture analysis

2019 ◽  
Vol 8 (1) ◽  
pp. 59-63
Author(s):  
Toni Arifin ◽  
Asti Herliana
Keyword(s):  
Particle Swarm Optimization ◽  
Decision Tree ◽  
Visual Impairment ◽  
Particle Swarm ◽  
Image Data ◽  
Swarm Optimization ◽  
Eye Disorders ◽  
Feature Optimization ◽  
Occurrence Matrix

The problem of visual impairment is a serious problem with increasing cases, ranging from visual impairment to the cause of blindness. This study examines the development of an identification application for the classification of patients with eye disorders using the Decision Tree (DT) method, which is optimized using Particle Swarm Optimization (PSO). This study used 311 eye image data, consisting of 233 normal eye images and 78 eye images with glaucoma, cataracts, and uveitis. The feature extraction used Gray Level Co-occurrence Matrix (GLCM), while the feature optimization used the PSO and the learning method used DT. This optimized visual impairment classification application can improve system accuracy to 88.09 %.

scholarly journals Classification of diabetes disease using decision tree algorithm (C4.5)

2021 ◽  
Vol 1869 (1) ◽  
pp. 012082
Author(s):  
B A C Permana ◽  
R Ahmad ◽  
H Bahtiar ◽  
A Sudianto ◽  
I Gunawan
Keyword(s):  
Decision Tree ◽  
Decision Tree Algorithm ◽  
Tree Algorithm
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