The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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For Gene Disease Analysis using Data Mining Implement MKSV System

데이터마이닝을 활용한 유전자 질병 분석을 위한 MKSV시스템 구현

  • 정유정 (조선대학교 sw융합교육원) ;
  • 최광미 (조선대학교 sw융합교육원)
  • Received : 2019.06.30
  • Accepted : 2019.08.15
  • Published : 2019.08.31

Abstract

We should give a realistic value on the large amounts of relevant data obtained from these studies to achieve effective objectives of the disease study which is dealing with various vital phenomenon today. In this paper, the proposed MKSV algorithm is estimated by optimal probability distribution, and the input pattern is determined. After classifying it into data mining, it is possible to obtain efficient computational quantity and recognition rate. MKSV algorithm is useful for studying the relationship between disease and gene in the present society by simulating the probabilistic flow of gene data and showing fast and effective performance improvement to classify data through the data mining process of big data.

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KCTSAD_2019_v14n4_781_f0001.png 이미지

그림 1. 유클리디안 변환 테이블 Fig. 1 Euclidean transformation table

KCTSAD_2019_v14n4_781_f0002.png 이미지

그림 2. K=4 일때 분류 샘플 유전자 표현 이미지 Fig. 2 K=4 classification sample gene expression image

KCTSAD_2019_v14n4_781_f0003.png 이미지

그림 3. K-means, SOM, MKSV의 민감도 특이도 Fig 3. Sensitivity specificity of K-means, SOM and MKSV

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