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  • 标题:Explorative Study of Web Data Mining Techniques and Tools: A Review
  • 本地全文:下载
  • 作者:Surbhi Sharma ; Dinesh Soni ; Dr. Arvind K Sharma
  • 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:2017
  • 卷号:8
  • 期号:1
  • 页码:43-47
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Web data mining is usually a technique of data mining which is utilized for serving web-based applications by using web data over World Wide Web. It is a technique of retrieving information over the World Wide Web that contains web based documents, hyper documents, web links to various web pages and other resources over the Web. It evolves three main techniques such as structure mining, content mining, and usage mining. In this paper we have been presented that how web data mining is to be used, to be implemented, and to be obtained useful information from the Web. A survey of different web data mining techniques and tools has also been shown. Further, we have been tried to identify the research domain in web data mining where further future work can be continued.
  • 关键词:Web Data Mining;WWW;Web Mining;Techniques;Tools
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