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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol. 4(6): 543-546 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V6.470

Analysis of Ebolavirus with Decision Tree and Apriori algorithm

Eunby Go, Seungmin Lee, and Taeseon Yoon
Abstract—EbolaVirus, which has high facilities up to 90%, is introduced into the human population through close contact with the blood, secretions, organs or other bodily fluids of infected animals. It is mostly occurred in Central and West Africa, near tropical rainforests and their host are bats. In this paper, we analyzed the DNA sequences of 5 Ebolavirus : Bundibugyo Ebolavirus, Reston Ebolavirus, Sudan Ebolavirus, TaiForest Ebolavirus, and Zaire Ebolavirus and investigated the difference between them based on the genus they are involved in. Furthermore, we look for the frequency of the amino acid and find the similarities between the Ebolaviruses.

Index Terms—Ebolavirus, bundibugyo ebolavirus, reston ebolavirus, sudan ebolavirus, taiforest ebolavirus, zaire ebolavirus, decision tree, apriori algorithm.

Eunby Go is with the Genetics, Conversation and Evolutionary, Biology Program, National Institute of Standards and Technology SEOUL. She is at the HAFS (Hankuk Academy of Foreign Studies) (e-mail: eunbygo@naver.com).
Seungmin Lee is with the Neurobiology, Conversation and Evolutionary, Biology Program, National Institute of Standards and Technology SEOUL. She is enrolled in HAFS (Hankuk Academy of Foreign Studies)(e-mail: tmdalsdl0420@gmail.com).
Taeseon Yoon was with the Korea University, South Korea. He is now with the Hankuk Academy of Foreign Studies, Lecturer, South Korea. (e-mail: tsyoon@hafs.hs.kr).

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Cite: Eunby Go, Seungmin Lee, and Taeseon Yoon, "Analysis of Ebolavirus with Decision Tree and Apriori algorithm," International Journal of Machine Learning and Computing vol. 4, no. 6, pp. 543-546, 2014.

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