Optimization of cross-border intelligent e-commerce platform based on data flow node analysis

Optimization of the cross-border intelligent e-commerce platform based on data flow node analysis is studied in this manuscript. In the era of the popularization of big data applications, the application of big data technology has gradually shown its own advantages, and also the penetration field has gradually expanded. In our designed model, the 2 aspects of the novelty are reflected. (1) The data flow node analysis is conducted. We apply the machine learning algorithms and the graph theory for the work of node modelling and pattern analysis. The intelligent coding theory is applied for the implementation of the model. (2) The cross-border intelligent e-commerce platform is implemented with the optimal solution. We apply the platform into the applications.