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Analysis of the Genomes of Chikungunya Virus and Dengue Virus Using Decision Tree, Apriori Algorithm, and Support Vector Machine

Abstract— Chikungunya Virus, which has no vaccines or medicines, is introduced into human population by mosquito bites. It is mostly occurred in Africa, Asia, Europe, and the Indian and Pacific Oceans. Dengue Virus, leading cause of death in the tropics and subtropics, is also transmitted by mosquitoes: 400 million infections every year. Chikungunya Virus and Dengue Virus share their clinical presentations such as joint pain, severe fever, and rash. There is no vaccine to prevent either Chikungunya Virus or Dengue Virus. In this paper, I analysed the DNA sequence of CHIKV and DENV in order to investigate the difference between them. Furthermore, I looked for the amino acid frequencies and found the genetic similarities and correlation between CHIKV and DENV.

Index Terms— Chikungunya virus, dengue virus, decision tree, data mining, Apriori algorithm, support vector machine.

Donghyun Lee
International Studies: Hankuk Academy of Foreign Studies, KOREA
Taeson Yoon
Computer Science: Korea University, KOREA

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Cite: Donghyun Lee, Taeson Yoon, "Analysis of the Genomes of Chikungunya Virus and Dengue Virus Using Decision Tree, Apriori Algorithm, and Support Vector Machine," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 320-324, Tokyo, 17-19 June, 2016.