Text Mining Predictive Methods for Analyzing Unstructured Information /

One consequence of the pervasive use of computers is that most documents originate in digital form. Text mining-the process of searching, retrieving, and analyzing unstructured, natural-language text-is concerned with how to exploit the textual data embedded in these documents. Text Mining presents...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Weiss, Sholom M. (Autor), Indurkhya, Nitin (Autor), Zhang, Tong (Autor), Damerau, Fred (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Temas:
Data mining.
Computer networks .
Information storage and retrieval systems.
Natural language processing (Computer science).
Information technology-Management.
Database management.
Data Mining and Knowledge Discovery.
Computer Communication Networks.
Information Storage and Retrieval.
Natural Language Processing (NLP).
Computer Application in Administrative Data Processing.
Database Management.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Overview of Text Mining
  • From Textual Information to Numerical Vectors
  • Using Text for Prediction
  • Information Retrieval and Text Mining
  • Finding Structure in a Document Collection
  • Looking for Information in Documents
  • Case Studies
  • Emerging Directions.

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