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Web Data Mining


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Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining because of the nature of semi-structured and unstructured Web data. The first part covers the foundations of data mining and machine learning, where all the important concepts and algorithms of data mining and machine learning is presented. The second section covers key topics of Web mining, in which Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and all the recommended system treated both in breadth and depth. It is suitable for students, researchers and practitioners interested in data mining and Web both as a learning text and as a reference book.

Computer eBook Details

  • ISBN-10: 3642194591
  • ISBN-13: 9783642194597
  • Publisher: Springer
  • Pages: 642
  • Date: July 2011

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