Web Data Mining Exploring Hyperlinks, Contents, and Usage Data

Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web...

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Main Author: Liu, Bing
Corporate Author: SpringerLink (Online service)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2011, 2011
Edition:2nd ed. 2011
Series:Data-Centric Systems and Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Data Mining Foundations
  • 2. Association Rules and Sequential Patterns
  • 3. Supervised Learning
  • 4. Unsupervised Learning
  • 5. Partially Supervised Learning
  • Part II: Web Mining
  • 6. Information Retrieval and Web Search
  • 7. Social Network Analysis
  • 8. Web Crawling
  • 9. Structured Data Extraction: Wrapper Generation
  • 10. Information Integration
  • 11. Opinion Mining and Sentiment Analysis
  • 12. Web Usage Mining