Earticle

초록

영어

With the recent development of technologies to manage vast amounts of data, data mining technology has had a major impact on all industries.. Data mining is the process of discovering useful correlations hidden in data, extracting executable information for the future, and using it for decision making. In other words, it is a core process of Knowledge Discovery in data base(KDD) that transforms input data and derives useful information. It extracts information that we did not know until now from a large data base. In the decision tree, c4.5 algorithm was used. In addition, the C4.5 algorithm was used in the decision tree to analyze the difference between frequency and mortality in the region. In this paper, the frequency and mortality of percutaneous coronary intervention for patients with heart disease were divided into regions.

목차

Abstract
 1. Introduction
 2. Related Research
  2.1 Decision trees
  2.2 C4.5
 3. Experiment
  3.1 Experimental data
 4. Experimental Results and Discussion
  4.1 C4.5 Algorithm Results
 5. Conclusion
 References

키워드

저자

• Yong Gyu Jung [ Dept. of Medical IT, Eulji University, Korea ] Corresponding author
• Sung-Jun Jung [ Dept. of Electronic Engineering, Sogang University, Korea ]
• Byeong Heon Cha [ Dept. of Biomedical Laboratory Science, Eulji University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380