Earticle

초록

영어

It is an importance step for near-duplication detection to perform file classification in the data mining field, in this paper an improved classification course is proposed which consists of training and test course corresponding to its algorithm respectively. It utilizes the MapReduce computing model created by Google to conduct the classification calculation. Specially, the Sogou news data with various data amounts which simulated the massive data set was used for testing effectiveness and a comparative evaluation on execution time and speedup was accomplished on the experimental circumstance. The results obtained shows that the classification course obviously reduces the execution times greatly and gains the ideal speedup ratio when increasing data amounts, achieves the better performance.

목차

Abstract
 1. Introduction
 2. Relevant Work
 3. Classification Course
 4. Experimental Test
 5. Conclusions
 Acknowledgment
 References

키워드

저자

• Haitao Wang [ School of Computer Science and Technology Jilin University, QianJin Street, ChangChun, JiLin, China,Henan Polytechnic University Shiji Street, Jiaozuo, Henan, China ]
• Shunfeng Liu [ School of Computer Science and Technology Jilin University, QianJin Street, ChangChun, JiLin, China ]
• Zongpu Jia [ Henan Polytechnic University Shiji Street, Jiaozuo, Henan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605