摘要
随着移动通信技术的飞速发展,移动电子商务以其方便、快捷等优点获得了大量的网络用户。移动互联网端的用户行为分析已经成为迅速发展的知识领域。Web数据挖掘技术作为用户行为分析的基础在移动电子商务领域具有很高的实用价值。文章主要介绍了基于Web的数据挖掘定义及Web的数据特点,并对Web使用模式挖掘的过程和算法进行了重点分析,包括数据的预处理、模式发现和模式分析。除此之外,基于传统企业的电子商务化、业务领域多元化等特点,创新研究了如何建设企业电子化大平台,如何有效收集平台产生的海量数据,如何将Web数据挖掘技术应用于企业等内容。
With the rapid development of mobile communication technology, mobile e-commerce gets a lot of network users because of the advantages of convenient, fast and so on. Behavior analysis of mobile Internet user has become the rapid developed knowledge field. As a basis of user behavior analysis Web data mining technology has a high practical value in the field of mobile e-commerce. The definition of Web-based data mining and features of Web data ＇are introduced in the article, the processes and algorithms of Web usage mining are focused researched, including data preprocessing, pattern discovery and pattern analysis. In addition, based on the traditional enterprise involving e-commerce and business field diversification, how to construct large-scale e-business online platform, how to effectively collect vast amounts of data generated by the platform and how to use data mining technology to serve enterprises are innovatively researched.
出处
《价值工程》
2015年第26期245-249,共5页
Value Engineering
基金
河北省高等学校科学技术研究项目编号:Z2014167
