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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2017 Vol.6(3): 92-96 ISSN: 2010-3751
doi: 10.18178/ijfcc.2017.6.3.496

Support Vector Machine with Restarting Genetic Algorithm for Classifying Imbalanced Data

Keerachart Suksut, Kittisak Kerdprasop, and Nittaya Kerdprasop
Abstract—Algorithms for data classification are normally at their high performance when the dataset has good balance in which the number of data instances in each class is approximately equal. But when the dataset is imbalanced, the classification model tends to bias toward the majority class. The goal of imbalanced data classification is how to improve the performance of a model to better recognize data from minority class, especially when minority is more interesting than the majority data. In this research, we propose technique for balancing data with hybrid resampling techniques and then perform parameter optimization with restarting genetic algorithm. The optimized parameters are for support vector machine to induce efficient model for recognizing data in minority class, whereas maintaining overall accuracy. The experimental results show that the proposed technique has high performance than others.

Index Terms—Imbalanced data, restarting genetic algorithm, support vector machine.

K. Suksut is with the School of Computer Engineering, Suranaree University of Technology (SUT), 111 University Avenue, Muang, Nakhon Ratchasima 30000, Thailand (corresponding author: K. Suksut; Tel.: +66879619062; e-mail: mikaiterng@gmail.com).
K. Kerdprasop is with the School of Computer Engineering. He is also with Knowledge Engineering Research Unit, SUT, Thailand (e-mail: kerdpras@sut.ac.th).
N. Kerdprasop is the School of Computer Engineering. She is also with Data Engineering Research Unit, SUT, Thailand (e-mail: nittaya@sut.ac.th).

[PDF]

Cite: Keerachart Suksut, Kittisak Kerdprasop, and Nittaya Kerdprasop, "Support Vector Machine with Restarting Genetic Algorithm for Classifying Imbalanced Data," International Journal of Future Computer and Communication vol. 6, no. 3, pp. 92-96, 2017.

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