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  • 标题:A Novel Approach for Subjective Content Accessibility Mining using Lib Mart & Web Mart Classification having Multilayered Architecture
  • 本地全文:下载
  • 作者:Sachin Yele ; Ravindra Gupta
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:6
  • 页码:2889-2893
  • 出版社:TechScience Publications
  • 摘要:Users have always wanted to find their desired topic in documents, whether a document is such as a book, an article, a paragraph, a section, a chapter, a research paper and even one single webpage, which can be seen as a kind of information material and information quickly and easily from a set of latest documents on the Web. This means that the user has three main goals. Get the content of desired domain, Get the details of the document set in which search topic present, content accessibility of specified topics present in the document set. The above goals of user are the issues for searching content on web. The content searching on web is dealt by web content mining. The approach for web content mining varies from application to application. The Web content mining has two major activities Identify the object i.e. find the relevant document and access the content from identified document this paper give the concept of subjective accessibility test using multilayered architecture using Libmart & Web Mart Classification.
  • 关键词:Web content Mining; Libmart; Web mart;Multilayered architecturetling..
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