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Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2014 Vol.4(5): 354-357 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2014.V4.463

In-Depth Understanding of Norovirus and Rotavirus by Employing Apriori Algorithm in Case of DNA Sequence

Cheolho Heo, Daeseop Kim, and Taeseon Yoon
Abstract— An Infectious disease of Norovirus and Rotavirus have occurred annually and cause influence into all range of ages. In case of pediatrics, these virus spread quickly because of outbreak in gastroenteritis and institution, which make economic loss socially. They show lots of similar communicable diseases. To prevent us from these viruses, knowing and recognizing them intrinsically is the most significant thing that we have to discern. This why we do this research through employing apriori algorithm and Support Vector Machine (SVM). We can compare and contrast DNA sequence of both norovirus and rotavirus and find some resemblance. Moreover, doing SVM experiments, we get more information about these viruses. Our research has an importance on seeking for some probability of accurate and non-side effect treatment.

Index Terms— Apriori algorithm, support vector machine, norovirus, rotavirus.

Cheolho Heo, Daeseop Kim, and Taeseon Yoon are with Hankuk Academy of Foreign Studies, Korea (e-mail: dydakchry@naver.com).

[PDF]

Cite: Cheolho Heo, Daeseop Kim, and Taeseon Yoon, " In-Depth Understanding of Norovirus and Rotavirus by Employing Apriori Algorithm in Case of DNA Sequence," International Journal of Information and Electronics Engineering vol. 4, no. 5, pp. 354-357, 2014.

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