Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative Analysis

Data mining and classification are most research idea that used in many topics by researchers. This study presents the comparison of three algorithms for classifications such as (Decision Tree, Naïve Bayes and Support Vector Machine), applying for social media usage dataset by NYC, to get the best...

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Main Author: Ahmed Burhan Mohammed
Format: Article
Language:English
Published: Tikrit University 2023-02-01
Series:Tikrit Journal of Pure Science
Subjects:
Online Access:https://tjpsj.org/index.php/tjps/article/view/881
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author Ahmed Burhan Mohammed
author_facet Ahmed Burhan Mohammed
author_sort Ahmed Burhan Mohammed
collection DOAJ
description Data mining and classification are most research idea that used in many topics by researchers. This study presents the comparison of three algorithms for classifications such as (Decision Tree, Naïve Bayes and Support Vector Machine), applying for social media usage dataset by NYC, to get the best result of the classification algorithm that can classify the instances according to the platforms. The final result of this research refer to the Support Vector Machine returned the best result among these techniques.    
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issn 1813-1662
2415-1726
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series Tikrit Journal of Pure Science
spelling doaj-art-3265a5c6c1f641bb810142a31effba4f2025-08-20T02:36:31ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262023-02-0122910.25130/tjps.v22i9.881Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative AnalysisAhmed Burhan Mohammed Data mining and classification are most research idea that used in many topics by researchers. This study presents the comparison of three algorithms for classifications such as (Decision Tree, Naïve Bayes and Support Vector Machine), applying for social media usage dataset by NYC, to get the best result of the classification algorithm that can classify the instances according to the platforms. The final result of this research refer to the Support Vector Machine returned the best result among these techniques.     https://tjpsj.org/index.php/tjps/article/view/881Social NetworkWekaDecision TreeSupport Vector MachineNaïve BayesMachine Learning
spellingShingle Ahmed Burhan Mohammed
Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative Analysis
Tikrit Journal of Pure Science
Social Network
Weka
Decision Tree
Support Vector Machine
Naïve Bayes
Machine Learning
title Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative Analysis
title_full Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative Analysis
title_fullStr Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative Analysis
title_full_unstemmed Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative Analysis
title_short Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative Analysis
title_sort decision tree naive bayes and support vector machine applying on social media usage in nyc comparative analysis
topic Social Network
Weka
Decision Tree
Support Vector Machine
Naïve Bayes
Machine Learning
url https://tjpsj.org/index.php/tjps/article/view/881
work_keys_str_mv AT ahmedburhanmohammed decisiontreenaivebayesandsupportvectormachineapplyingonsocialmediausageinnyccomparativeanalysis