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INTELLIGENT MODE OF ELECTRONIC COMMERCE BASED ON DATA MINING TECHNOLOGY

机译:基于数据挖掘技术的电子商务智能模式

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With the rapid development of Internet technology, the penetration rate of Internet in China has exceeded 50 %, and more and more Internet users have chosen to shop online. Based on the analysis of the current situation of e-commerce development, this paper analyzes the influencing factors affecting the reliability of e-commerce logistics from the aspects of information technology, facilities and equipment, personnel operation and external environment. Additionally, it constructs the E-commerce intelligent logistics reliability distribution model and simulates the example. The research results show that, when the maximum and minimum reliability and complexity are not considered, the priority of improving the important high unit has a great impact on the reliability of the whole system. An increase in unit reliability can lead to an increase in system reliability and an increase in cost. When the reliability is increased to a certain extent, the continued increase will greatly increase the cost, and the cost of increasing the system unit reliability is greatly increased.
机译:随着互联网技术的快速发展,中国互联网的普及率超过了50%,越来越多的互联网用户选择在线购物。本文根据对电子商务发展现状的分析,分析了影响信息技术,设施和设备,人员运营和外部环境方面的电子商务物流可靠性的影响因素。此外,它还构建了电子商务智能物流可靠性分布模型,并模拟示例。研究结果表明,当不考虑最大和最小的可靠性和复杂性时,改善重要的高单元的优先级对整个系统的可靠性产生了很大的影响。单位可靠性的增加可能导致系统可靠性的增加和成本增加。当可靠性在一定程度上增加时,继续增加将大大增加成本,并且增加了系统单元可靠性的成本大大增加。

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