Earticle

초록

영어

As a new kind of consumption mode, the online group buying is familiar to consumers and many consumers adopt this new consumption mode. We can conclude online consumption as one of the electronic commerce. Electronic commerce is known as utilization of computer technique, network technique and telecommunication technique to achieve the entire electronic commerce (business transactions) process electronically, digitally and networked. From the view of the consumption patterns, the online group buying(so called electronic commerce) can be divided into the simple online shopping mode and the mode which combine the online shopping and the entity shopping (that is, O2O mode). Though the domestic E-commerce industry starts later, it develops very quickly. However, the unbalanced development among the different regions results the imbalance of the online group buying market development. Therefore, it is necessary to survey the online group buying market. In this paper, we put forward an improved principal component analysis method- normalization principal component analysis method. This method transforms the negative index and the neutral index into the positive index. And it also transforms the positive index that the index value exists negative values into the index value that the positive indexes are all the positive values. Then it can score these indexes. The experimental results show that the method is feasible and effective.

목차

Abstract
 1. Introduction
 2. The Current Status of the Online Group Buying Website
 3. The Algorithm Process of the Normalization Kernel Principal Component Analysis
  3.1 The Kernel Principal Component Analysis
  3.2. The Normalized Score in Kernel Principal Component Analysis
 4. Numerical Analysis
  4.1 Normalization Kernel Principal Component Analysis
  4.2 Clustering Analysis
 5. Conclusion
 Acknowledgement
 References

키워드

저자

• Cao Lijun [ Hebei Normal University of Science & Technology, China ]
• Liu Xiyin [ Hebei Normal University of Science & Technology, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605