Universiti Teknologi Malaysia Institutional Repository

A brief conceptual view on classification using support vector machine

Mohd. Rosely, N. F. L. and Mohd. Zain, A. and Yusoff, Y. and Yusup, N. (2019) A brief conceptual view on classification using support vector machine. In: International Conference on Green Engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019, 4-5 Feb 2019, Eastin Hotel Makkasan, Bangkok, Thailand.

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Official URL: http://www.dx.doi.org/10.1088/1757-899X/551/1/0120...

Abstract

Classifier is an important element for a classification process to classify features or samples of a dataset successfully. The existence of classifier is important, especially involved multiple class dataset with huge number of features or samples. Support Vector Machine (SVM) classifier catches more attention over other classifiers as it is widely used in various fields. Therefore, this paper aims to give a brief conceptual view of SVM in classification. The important elements and principle of SVM are also described. Along with that an appropriate evaluation and validation for SVM performance are also included. As a result, SVM concept in solving real world classification problem is identified for future reference.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:green computing, support vector machines
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:91304
Deposited By: Narimah Nawil
Deposited On:30 Jun 2021 20:07
Last Modified:30 Jun 2021 20:07

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