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Research on safety management system optimization of B2C e-commerce intelligent logistics information system based on data cube

机译:基于数据多维数据集的B2C电子商务智能物流信息系统安全管理体系优化研究

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摘要

With the rapid popularization and rapid development of the Internet in the world, e-commerce has gradually become the mainstream trade mode. E-commerce has its own unique trading mode and brand-new global business opportunities. More and more people conduct online transactions through the Internet. According to the characteristics of data in B2C e-commerce system, data mining management module is designed in B2C e-commerce management system. Data mining technology is used to preprocess data, data mining and mining results. It is implemented using J2EE's B/S architecture. With the continuous growth of B2C e-commerce scale, logistics bottlenecks have become increasingly prominent, and e-commerce distribution model based on cloud logistics integrates IT information technology with traditional logistics information systems. Integrate logistics service demand and logistics distribution capabilities, and provide corresponding cloud logistics information and management platform system. It will help solve the problem of logistics and distribution of B2C e-commerce in China and promote the healthy and rapid development of e-commerce economy.
机译:随着世界上互联网的快速普及和快速发展,电子商务逐渐成为主流贸易模式。电子商务拥有自己独特的交易模式和全新的全球商机。越来越多的人通过互联网进行在线交易。根据B2C电子商务系统中数据的特点,数据挖掘管理模块是在B2C电子商务管理系统中设计的。数据挖掘技术用于预处理数据,数据挖掘和挖掘结果。它是使用J2EE的B / S架构实现的。随着B2C电子商务规模的持续增长,物流瓶颈已经变得越来越突出,基于云物流的电子商务分配模型将IT信息技术与传统物流信息系统集成。整合物流服务需求和物流分配能力,并提供相应的云物流信息和管理平台系统。它将有助于解决我国B2C电子商务的物流与分销问题,促进电子商务经济的健康快速发展。

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