研究web数据挖掘的概念、技术和应用

K. Jayamalini, M. Ponnavaikko
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引用次数: 13

摘要

到目前为止,WWW是世界上最大的数据库,拥有大量的各种类型的数据,这些数据将被用户用于各种需求。如果挖掘有效,它包含了对企业无价的数据。Web挖掘是一种旨在从Web页面内容、超链接结构和网站使用情况或服务器日志中发现有用信息或知识的过程。Web数据挖掘分为三大类:Web内容挖掘、Web结构挖掘和Web使用挖掘。本调查报告报告了每种类型的web挖掘的基本概念,数据提取或知识检测技术以及不同类型web挖掘方法的使用。
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 web data mining concepts, techniques and applications
WWW is, by far, the enormous database in the world, holding humongous amount of data of various types that would be consumed by users for various needs. It contains priceless data for businesses, if mined effectively. Web mining is a process that targets to find useful information or knowledge from the Web page contents, hyperlink structure, and usage or sever logs of websites. Web data mining is divided into three major groups — Web Content mining, Web Structure mining and Web Usage mining. This survey paper reports the basic concepts of each type of web mining, techniques for data extraction or knowledge detection and uses of different types of web mining methods.
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