Web Data Mining Exploring Hyperlinks, Contents, and Usage Data /

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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Liu, Bing (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:2nd ed. 2011.
Colección:Data-Centric Systems and Applications,
Temas:
Information storage and retrieval systems.
Statistics .
Data mining.
Pattern recognition systems.
Artificial intelligence.
Information Storage and Retrieval.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 1. Introduction
  • Part I: 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.

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