Application of Big Data Mining in the Design of Logistics Website

Abstract

With the development of the information society, the information storm brought about by big data is changing the way we live, work and think. At present, many existing logistics operation systems have begun to transfer transaction mechanisms to websites due to the influence of networking. Therefore, how to use big data mining in the logistics website operating system has become a concern of many companies. The use of data mining technology can complete the analysis of a large amount of data in the logistics website, so as to realize the logistics operation on the website. This article mainly introduces the decision tree method and K-means method. This article uses big data to design the logistics website operation system and establish a potential time-discrete model. The model is solved by the decision tree method, and the design status of the big data mining in the logistics website operation system is evaluated, and historical data is used to revise the model to improve accuracy. The experimental results of this paper show that the application of big data mining in the design of logistics website operation system has increased by 48% and the false report rate has been reduced. However, the large database of my country’s big data mining in the design of logistics website operation system has not been established, so that the use of big data cannot be fully implemented.