Earticle

초록

영어

Decision-making is to extract information that can be executed in the future, it refers to the process of discovering a new data model that is induced in the data. In other words, it is to find out the information to peel off to find the vein to catch the relationship between the hidden patterns in data. The information found here, is a process of finding the relationship between the useful patterns by applying modeling techniques and sophisticated statistical analysis of the data. It is called data mining which is a key technology for marketing database. Therefore, research for cluster analysis of the current is performed actively, which is capable of extracting information on the basis of the large data set without a clear criterion. The EM and K -means methods are used a lot in particular, how the result values of evaluating are come out in experiments, which are depending on the size of the data by the type of distance-based and probability-based data analysis.

목차

Abstract
 1. INTRODUCTION
 2. RELATED RESEARCH
  2.1 Counting the cost
  2.2 Concept of the EM
 3. EXPERIMENTS
  3.1 EM Algorithm
  3.2 Experiment
 4. EXPERIMENTAL RESULTS
 5. CONCLUSIONS
 REFERENCES

키워드

저자

• Na Yeon Kwon [ Dept. of Medical IT Marketing, Eulji University, 461-713 Korea ]
• Jang Il Kim [ Dept. of Medical IT Marketing, Eulji University, 461-713 Korea ]
• Richard Dollein [ R&D Center, Softforum Co., LTD, 9th FL., Hancom Tower, 463-400 Korea ]
• Weon Joon Seo [ R&D Center, Softforum Co., LTD, 9th FL., Hancom Tower, 463-400 Korea ]
• Yong Gyu Jung [ Dept. of Medical IT Marketing, Eulji University, 461-713 Korea ] Corresponding author

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