Earticle

초록

영어

How to have a better mining and use of information in the cloud computing environment constitutes the direction of current research in the field of cloud computing; this paper introduces support vector machine (SVM) concept in the cloud computing data mining, introduces a penalty factor in the SVM, and improves SVM data mining algorithms. The constructed Map / Reduce model by the concept of featured multi-tree conducted the validation of the model. Simulation results show that data mining methods of this model have effectively improved the accuracy and the time of information mining, hence have some practical significance.

목차

Abstract
 1. Introduction
 2. Related Knowledge
  2.1 Support Vector Machines
  2.2 Data Mining in the Cloud Computing Environment
  2.3 Map / Reduce Model
 3. SVM in Cloud Computing Model Environment
  3.1 Support Vector Machines with the Introduction of Penalty Factor
  3.2 Introduction of Distributed Support Vector Machines in Cloud Computing Model
 4. Mining Algorithms Introduced Support Vector Machine based on Map / Reduce Model
  4.1 Algorithm Steps Description
  4.2 Algorithm Implementation
  4.3 Algorithms Example
 5. Experimental Simulation
 6. Conclusion
 References

키워드

저자

• Lvshuhong [ ZhengDe polytechnic college JiangSu NanJing 211106 ]

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