基于WEB的数据挖掘研究综述

Summary of Web Data Mining

运用数据挖掘技术进行Web数据挖掘成为数据分析领域中的一个重要研究热点,与传统数据相比较,Web数据具有结构复杂、形式多样与内容广泛等特点,且用户对其需求亦是五花八门的,这对数据分析领域提出了更大的挑战.基于为研究Web数据挖掘提供参考,将Web数据挖掘粗略地分为三类:内容挖掘、结构挖掘和使用挖掘,并分别进行了综述,然后根据当前的应用现状分析了这一研究领域的几个研究方向.

Web data mining derived from the data mining has been a hot and important topic in data analysis. Unlike traditional data, web data is characterized as complicated structure, various forms and rich contents. Its users＇ requirements can be diverse. This makes web data mining much more challenging. For the sake of giving some reference materials about web data mining, we classify web data mining roughly into three categories： content mining, usage mining and structure mining. After outlining them respectively, we analyze some hotspots in the research area according to its status of applications.