基于点击流数据的在线电子商务用户数据挖掘研究

Hua Zhang
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引用次数: 0

摘要

电子商务涉及海量数据,数据挖掘技术的出现可以帮助企业从海量数据中快速准确地发现和获取有价值的数据信息。数据挖掘是通过存储大量数据来发现新的关联模式的过程。在电子商务网站环境下,对点击流的分析变得越来越有价值,这已经远远超出了点击流的范围。对这些数据的深入分析已经成为电子商务网站了解业务状况和用户行为的有效工具。在分析电子商务用户点击流数据的基础上,分析了数据挖掘在电子商务中的作用和过程,并在此基础上提出了基于点击流数据的数据挖掘技术在电子商务中的应用方法。企业应树立与时俱进的理念,不断加强对数据挖掘技术的应用,确保电子商务行业朝着积极、稳定、健康、可持续的方向发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Online E-business User Data Mining Based on Clickstream Data
E-business involves a huge amount of data, and the emergence of data mining technology can help enterprises quickly and accurately find and obtain valuable data information from the huge amount of data. Data mining is the process of discovering new association patterns by storing a large amount of data. In the environment of e-business websites, the analysis of click stream is becoming more and more valuable, which has gone far beyond the scope of click stream. Deep analysis of these data has become an effective tool for e-business websites to understand the business situation and user behavior. Based on the analysis of click stream data of e-business users, this paper analyzes the function and process of data mining in e-business, and on this basis, puts forward the application method of data mining technology based on click stream data in e-business. Enterprises should establish the concept of keeping pace with the times and constantly strengthen the application of data mining technology to ensure that the e-business industry can develop in a positive, stable, healthy and sustainable direction.
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