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文章基本信息

  • 标题:Using Side Information Partitioning for Efficient Classification of Web Data
  • 本地全文:下载
  • 作者:Nazia Khan ; Brajesh Patel
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:19-22
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Web data mining has been a major requirement in current era as the spread of internet and increasing data over the internet. User specific requirements are being more demanding for making websites Search Engine friendly and listing on top of search engines. But since the search engine techniques available are common hence they are not very efficient and producing false information. Internet is consisting of lot of data and normal SEO techniques mislead the users to irrelevant search results. Researchers suggest that major relevant contents are enclosed and identified in the side information within the contents. Side information includes headings, alternate text, Meta text, bold and strong elements etc.
  • 关键词:Side Information;Web Sites;Web Pages;Classification and Partitioning
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