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

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The rapid growth of the Web in the last decade makes it the largest p- licly accessible data source in the world. Web mining aims to discover u- ful information or knowledge from Web hyperlinks, page contents, and - age logs. Based on the primary kinds of data used in the mining process, Web mining...

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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, 2007.
Edición:1st ed. 2007.
Colección:Data-Centric Systems and Applications,
Temas:
Data structures (Computer science).
Information theory.
Information storage and retrieval systems.
Statistics .
Data mining.
Pattern recognition systems.
Artificial intelligence.
Data Structures and Information Theory.
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:
  • Data Mining Foundations
  • Association Rules and Sequential Patterns
  • Supervised Learning
  • Unsupervised Learning
  • Partially Supervised Learning
  • Web Mining
  • Information Retrieval and Web Search
  • Link Analysis
  • Web Crawling
  • Structured Data Extraction: Wrapper Generation
  • Information Integration
  • Opinion Mining
  • Web Usage Mining.

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