摘要
web挖掘的对象是海量、异构、分布的web文档,以及web服务器日志,在逻辑上是一个由文档节点和超链接构成的图。web挖掘是一个庞大的信息服务中心,包括丰富的动态的超链接信息,以及web页面的访问和使用信息等。半结构化的web数据模型是研究web挖掘、信息检索、智能引擎及web用户访问模式挖掘的前提和重点。个性化的管理系统可以提供一种崭新的智能管理方式,根据每个用户的信息需求和用户的个性化模式,主动搜寻相关信息,并且利用多种在线智能服务准确地将用户所需的信息传送给用户。web挖掘技术是实现个性化信息服务的关键技术,创建符合用户特性的访问模式、需求模式和爱好模式,最终使个性化管理系统构建成为可能。
The object web mining is massive, heterogeneous, distributed webdocuments, as well as the web server log, it＇s a graph that is constituted by adocument node and hyperlink in the logic. Web mining is a huge information service center, including the rich and dynamic hyperlink information, web page access, usage information, and so on. Web data model of half structured is a premise and the key on the study of Web data mining, information retrieval, intelligent search engine and user of web access. Management system of personalized can provide a new way of intelligent management, according to the characteristic pattern and needs of user, it searches related information actively, and transmits the information accurately to the user. Web data mining technology is the key technology to realize the services of thepersonalized information, create user＇s access characteristic pattern, demand and hobbies patterns, make it eventually possible to construetpersonalized management system.
出处
《科技视界》
2013年第30期53-53,共1页
Science & Technology Vision
基金
吉林省教育厅项目<基于Web挖掘技术的高校知识产权信息管理系统的改进>
关键词
WEB挖掘
个性化
管理系统
Web Mining
Iudividuation
Management system
