文章基本信息

标题：A Survey-Link Algorithm for Web Mining
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作者：Gurpreet Kaur ; Shruti Aggarwal
期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2013
卷号：3
期号：2
页码：105-110
出版社：Technopark Publications
摘要：Web mining is the most active area where the research is going on rapidly. Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web. Based on the information gathered over the WWW web mining is categorized into three: Web content mining, Web structure mining and Web usage mining. In search engines web mining application can be seen. Most of the search engines are ranking their search results in response to user’s queries to make their search navigations easier. In this paper we give a survey of page ranking algorithms and description about Weighted Page Content Rank (WPCR) based on web content mining and structure mining that shows the relevancy of the pages to a given query is better determined, as compared to the Page Rank and Weighted Page Rank algorithms
关键词：Web mining; web content; Page rank; Weighted Page rank; weighted page content rank; web structure