General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2015 Vol.7(4): 302-305 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.975

Analyzing Patterns of Various Avian Influenza Virus by Decision Tree

Seung Jae Lim, Cheolho Heo, Yunsik Hwang, and Taeseon Yoon

Abstract—Influenza A virus, well-known for their dangerousness and diversity, take effect once again in recent years. In this case, the cause of this unfavorable situation is H5N8 that is one kind of mutants of influenza A virus. In the past, this virus show miserable effect in Ireland. Also, H5N1 and H1N1, the most common mutants of influenza A virus, have considerable hazard properties. Especially, there is a report that H1N1 took lives of many people and this was called as Swine Flu. Since these three corrupt virus have the most notorious characteristic, we will compare them and find some patterns about their behavior trend. In this experiment, we will try to get much more accurate results decision tree. Lastly, to improve our study, we make use of DNA Sequence Database and proven papers from National Central for Biotechnology Information (NCBI). We take our study's meaning on being able to treat and dealing with virus more easily by finding similarities and particular pattern of these dangerous virus.

Index Terms—Influenza A virus, H1N1, H5N1, H5N8, decision tree.

Seung Jae Lim, Cheolho Heo, Yunsik Hwang, and Taeseon Yoon are with the Hankuk Academy of Foreign Studies, South Korea (e-mail: tonylim0930@gmail.com).

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Cite:Seung Jae Lim, Cheolho Heo, Yunsik Hwang, and Taeseon Yoon, "Analyzing Patterns of Various Avian Influenza Virus by Decision Tree," International Journal of Computer Theory and Engineering vol. 7, no. 4, pp. 302-305, 2015.


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