The Training Data Generation and a Technique of Phylogenetic Tree Generation using Decision Tree 


Vol. 10,  No. 6, pp. 897-906, Oct.  2003
10.3745/KIPSTD.2003.10.6.897


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  Abstract

The traditional animal phylogenetic tree is to align the body structure of the animal phylums from simple to complex based on the initial development character. Currently, molecular systematics research based on the molecular, it is on the fly, is again estimating prior trend and show the new genealogy and interest of the evolution, In this paper, we generate the training set which is obtained from a DNA sequence and apply to the classification. We made use of the mitochondrial CNA for the experiment, and then proved the accuracy using the MEGA program which is analysis program, it is used in the biology field. Although the result of the mining has to be proved through biological experiment, it can provide the methodology for the efficient classify and can reduce the time and effort to the experiment.

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[IEEE Style]

C. D. Jin, S. Y. Ho, C. T. Yeong, G. H. Seon, L. G. Ho, H. B. Hyeon, "The Training Data Generation and a Technique of Phylogenetic Tree Generation using Decision Tree," The KIPS Transactions:PartD, vol. 10, no. 6, pp. 897-906, 2003. DOI: 10.3745/KIPSTD.2003.10.6.897.

[ACM Style]

Chae Deog Jin, Sin Ye Ho, Cheon Tae Yeong, Go Hong Seon, Lyu Geun Ho, and Hwang Bu Hyeon. 2003. The Training Data Generation and a Technique of Phylogenetic Tree Generation using Decision Tree. The KIPS Transactions:PartD, 10, 6, (2003), 897-906. DOI: 10.3745/KIPSTD.2003.10.6.897.

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