Volume 5 Number 4 (Jul. 2016)
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IJCCE 2016 Vol.5(4): 294-301 ISSN: 2010-3743
DOI: 10.17706/IJCCE.2016.5.4.294-301

An Analysis of the Genomes of Dengue Virus Using Decision Tree and Apriori Algorithm

Hyunseong Kim, Juyoung Yoo, Taeseon Yoon
Abstract—Dengue fever, caused by the dengue virus, has been a widespread epidemic during the 21st century. A mosquito-borne RNA virus, the dengue virus has four serotypes; all are able to cause the disease. Vaccination for the virus is arduous, since the vaccine must be able to immunize all four serotypes. In order to investigate genomic similarities and differences, we analyzed the genomes of the four serotypes: Dengue virus 1, Dengue virus 2, Dengue virus 3, and Dengue virus 4. We investigated the positions on each genome that had significant differences by using the decision tree. We also tried to find the similarities of the four viruses with the apriori algorithm. Through our experiment, we were able to investigate both the genomic similarities and the differences of each serotype, and were able to reach an interesting conclusion that the viruses, though they possess certain similarities, have an unusually large number of differences amongst themselves.

Index Terms—Apriori algorithm, decision tree, dengue virus, Leucine.

The authors are with the Department of International, Hankuk Academy of Foreign Studies, Yongin, Gyeonggi-do, South Korea.

Cite:Hyunseong Kim, Juyoung Yoo, Taeseon Yoon, "An Analysis of the Genomes of Dengue Virus Using Decision Tree and Apriori Algorithm," International Journal of Computer and Communication Engineering vol. 5, no. 4, pp. 294-301, 2016.

General Information

ISSN: 2010-3743
Frequency: Bimonthly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: EI (INSPEC, IET), Google Scholar, Crossref, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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