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  • 标题:Partial Web Mining Website Mining Individually
  • 本地全文:下载
  • 作者:Aeesha S. Shaheen
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2013
  • 卷号:3
  • 期号:4
  • 页码:26-29
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:The growth of numbers of pages that loaded on th e web and the difference of the structures and styles of these pages involves significant challenges. So in this paper we apply web mining to the web site pages in order to benefit from the redundant data that appears in the most pages in the website to decrease the memory size needed to save these pages in each web site alone. The web mining applied by extracting the matched data between the website pages and the home page or the index page then discharges it (the matched data), but the difference data is saved in the server's memory until the page is accessed. After the page is requested by any user, combination applied between th e index page file and the difference file for viewing the page on the browser.
  • 关键词:Pages; data
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