Anti Unreal Trading of Intelligent E-commerce Platform Framework Design For B2C
Chao-Fan Xie, Lin Xu, Luxiong Xu, Fu-Quan Zhang, Yang-Jie Tang · 2017
Enterprise1e-commerce platform is the most important management tool for trade which bases on the in the Internet era, and the platform is an important place facility for the coordination and integration of information flow, goods flow, capital flow, orderly and efficient flow of association. It, it breaks through the limitation of time and space. But when transaction efficiency is improved by common e-commerce platform, it also brings some defects for B2C, one of the most important aspects is the recognition detection of online unreal trading. Unreal trading is just like the bubble of the real world, it not only pollutes the real transaction data, but also brings difficulties for the government and enterprise decision-making. In this paper, it we uses data mining algorithms, like the tree of logistic regression, database analysis service object, artificial intelligence technology to build e-commerce platform framework for solving this problem.