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Application of Mobile Big Data and Artificial Intelligence in the Efficiency of E-Commerce Industry
Mobile Information Systems ( IF 1.863 ) Pub Date : 2021-08-25 , DOI: 10.1155/2021/4825643
Hongkai Cui 1, 2 , Lina Xiao 3 , Xiaheng Zhang 4
Affiliation  

In recent years, with the rapid development of network technology and mobile clients, the upsurge of online shopping users has been accelerated. The development of e-commerce has become a key factor affecting the economy. At the same time, in the process of online shopping, users produce a large number of user access data and transaction data, which seem messy but contain huge commercial value. E-commerce urgently needs to mine its own data information and related data so as to obtain competitive advantage. Web data mining technology has become the focus of research in universities and enterprises. This paper summarizes these two methods and explains their advantages and disadvantages, respectively. Next, based on the advantages and disadvantages of model control and logic analysis, a logic analysis method based on model control is proposed. A formal analysis method combining finite machine and logic is proposed. This new method can analyze the responsibility, fairness, and timeliness of e-commerce protocol, provide a state transition diagram describing the working principle of the protocol, and fully analyze the responsibilities of all parties when repeated attacks occur. Experiments show that the efficiency of e-commerce is improved by 30%. As mentioned above, this paper hopes to play a certain role in the development of e-commerce. This paper summarizes the time series of e-commerce data, sales changes, and the sensitivity of consumer goods, which is conducive to the prediction and evaluation of the market, seize the market trend, and provide better decision-making.

中文翻译:

移动大数据与人工智能在电子商务行业效率中的应用

近年来,随着网络技术和移动客户端的快速发展,网购用户热潮加速。电子商务的发展已成为影响经济的关键因素。同时,用户在网购过程中,会产生大量的用户访问数据和交易数据,看似杂乱无章,却蕴含着巨大的商业价值。电子商务迫切需要挖掘自身的数据信息及相关数据,以获得竞争优势。Web数据挖掘技术已成为高校和企业研究的重点。本文总结了这两种方法,并分别说明了它们的优缺点。接下来,基于模型控制和逻辑分析的优缺点,提出了一种基于模型控制的逻辑分析方法。提出了一种有限机器与逻辑相结合的形式分析方法。这种新方法可以分析电子商务协议的责任、公平性和及时性,提供描述协议工作原理的状态转移图,并在重复攻击发生时充分分析各方的责任。实验表明,电子商务的效率提高了30%。如上所述,本文希望对电子商务的发展起到一定的作用。本文总结了电子商务数据的时间序列、销售变化、消费品的敏感度,有利于对市场进行预测和评估,把握市场趋势,提供更好的决策。电子商务协议的公平性和时效性,提供描述协议工作原理的状态转移图,并在重复攻击发生时充分分析各方的责任。实验表明,电子商务的效率提高了30%。如上所述,本文希望对电子商务的发展起到一定的作用。本文总结了电子商务数据的时间序列、销售变化、消费品的敏感度,有利于对市场进行预测和评估,把握市场趋势,提供更好的决策。电子商务协议的公平性和时效性,提供描述协议工作原理的状态转移图,并在重复攻击发生时充分分析各方的责任。实验表明,电子商务的效率提高了30%。如上所述,本文希望对电子商务的发展起到一定的作用。本文总结了电子商务数据的时间序列、销售变化、消费品的敏感度,有利于对市场进行预测和评估,把握市场趋势,提供更好的决策。实验表明,电子商务的效率提高了30%。如上所述,本文希望对电子商务的发展起到一定的作用。本文总结了电子商务数据的时间序列、销售变化、消费品的敏感度,有利于对市场进行预测和评估,把握市场趋势,提供更好的决策。实验表明,电子商务的效率提高了30%。如上所述,本文希望对电子商务的发展起到一定的作用。本文总结了电子商务数据的时间序列、销售变化、消费品的敏感度,有利于对市场进行预测和评估,把握市场趋势,提供更好的决策。
更新日期:2021-08-25
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