Machine Learning Applications based on SVM Classification A Review

Extending technologies and data development culminated in the need for quicker and more reliable processing of massive data sets. Machine Learning techniques are used excessively. This paper, therefore, attempts to deal with data processing, using a support vector machine (SVM) algorithm in differe...

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Main Authors: Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez
Format: Article
Language:English
Published: Qubahan 2021-04-01
Series:Qubahan Academic Journal
Subjects:
Online Access:https://journal.qubahan.com/index.php/qaj/article/view/50
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author Dakhaz Mustafa Abdullah
Adnan Mohsin Abdulazeez
author_facet Dakhaz Mustafa Abdullah
Adnan Mohsin Abdulazeez
author_sort Dakhaz Mustafa Abdullah
collection DOAJ
description Extending technologies and data development culminated in the need for quicker and more reliable processing of massive data sets. Machine Learning techniques are used excessively. This paper, therefore, attempts to deal with data processing, using a support vector machine (SVM) algorithm in different fields since it is a reliable, efficient classification method in the area of machine learning. Accordingly, many works have been explored in this paper to cover the use of SVM classifier. Classification based on SVM has been used in many fields like face recognition, diseases diagnostics, text recognition, sentiment analysis, plant disease identification and intrusion detection system for network security application. Based on this study, it can be concluded that SVM classifier has obtained high accuracy results in most of the applications, specifically, for face recognition and diseases identification applications.
format Article
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institution Kabale University
issn 2709-8206
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publishDate 2021-04-01
publisher Qubahan
record_format Article
series Qubahan Academic Journal
spelling doaj-art-f7609f50ed364052893482e8c98daac22025-02-03T10:12:53ZengQubahanQubahan Academic Journal2709-82062021-04-011210.48161/qaj.v1n2a5050Machine Learning Applications based on SVM Classification A ReviewDakhaz Mustafa Abdullah0Adnan Mohsin Abdulazeez1Technical College of Informatics, Akre Duhok Polytechnic University Duhok, IraqResearch Center of Duhok Polytechnic University Duhok Polytechnic University Duhok, Iraq Extending technologies and data development culminated in the need for quicker and more reliable processing of massive data sets. Machine Learning techniques are used excessively. This paper, therefore, attempts to deal with data processing, using a support vector machine (SVM) algorithm in different fields since it is a reliable, efficient classification method in the area of machine learning. Accordingly, many works have been explored in this paper to cover the use of SVM classifier. Classification based on SVM has been used in many fields like face recognition, diseases diagnostics, text recognition, sentiment analysis, plant disease identification and intrusion detection system for network security application. Based on this study, it can be concluded that SVM classifier has obtained high accuracy results in most of the applications, specifically, for face recognition and diseases identification applications. https://journal.qubahan.com/index.php/qaj/article/view/50MLClassificationSVMApplications
spellingShingle Dakhaz Mustafa Abdullah
Adnan Mohsin Abdulazeez
Machine Learning Applications based on SVM Classification A Review
Qubahan Academic Journal
ML
Classification
SVM
Applications
title Machine Learning Applications based on SVM Classification A Review
title_full Machine Learning Applications based on SVM Classification A Review
title_fullStr Machine Learning Applications based on SVM Classification A Review
title_full_unstemmed Machine Learning Applications based on SVM Classification A Review
title_short Machine Learning Applications based on SVM Classification A Review
title_sort machine learning applications based on svm classification a review
topic ML
Classification
SVM
Applications
url https://journal.qubahan.com/index.php/qaj/article/view/50
work_keys_str_mv AT dakhazmustafaabdullah machinelearningapplicationsbasedonsvmclassificationareview
AT adnanmohsinabdulazeez machinelearningapplicationsbasedonsvmclassificationareview