Earticle

초록

영어

Data mining reveals the recent prominence of Machine Learning. It means to acquire the skills and knowledge that can be acquired information efficiently. It is machine learning of new information it may be due to him from the new data to predict the outcome. This paper attempts to compare the classification performance of an exemplary algorithm J48 and REPTree of ML algorithms. Confirm that provide more accurate classification algorithm by which the performance comparison results in finding a more accurate prediction is possible algorithm that is the goal of this paper. This classification was carried out in the data collected for the experiment. As a result classification success rate of J48 is about 96%, classification success rate was found to be about 94% of REPTree. Fine, but it was confirmed that the classification performance is better than the J48 REPTree. In other words, J48 algorithm showed that slightly more accurate forecasts as possible.

목차

Abstract
 1. INTRODUCTION
 2. RELATED RESEARCH
  2.1 J48
  2.2 REPTree
 3. SIMULATION
 4. CONCLUSION
 REFERENCES

키워드

저자

• Yong Gyu Jung [ Department of Medical IT Marketing, Eulji University, Korea ]
• Hoon Jin [ Dept. of Computer Engineering, Sungkyunkwan University, Korea ]
• Byung Heun Cha [ Department of Biomedical Laboratory Science, Eulji University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380