Sports Data Mining

Data mining is the process of extracting hidden patterns from data, and it's commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis' best-selling Moneyball: The Art of Winning An Unfair Game, it has become...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Schumaker, Robert P. (Autor), Solieman, Osama K. (Autor), Chen, Hsinchun (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Integrated Series in Information Systems, 26
Temas:
Data mining.
Business mathematics.
Business information services.
Operations research.
Statistics .
Data Mining and Knowledge Discovery.
Business Mathematics.
IT in Business.
Operations Research and Decision Theory.
Statistics in Business, Management, Economics, Finance, Insurance.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Sports Data Mining: The Field
  • Sports Data Mining Methodology
  • Data Sources for Sports
  • Research in Sports Statistics
  • Tools and Systems for Sports Data Analysis
  • Predictive Modeling for Sports and Gaming
  • Multimedia and Video Analysis for Sports
  • Web Sports Data Extraction and Visualization
  • Open Source Data Mining Tools for Sports
  • Greyhound Racing Using Neural Networks: A Case Study
  • Greyhound Racing Using Support Vector Machines: A Case Study
  • Betting and Gaming
  • Conclusions.

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