Research on the Electronic Commerce Market Survey Based on Normalization Kernel Principal Component Analysis

Abstract

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.