Data mining for business intelligence : concepts, techniques, and applications in Microsoft Office Excel with XLMiner /

Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models. Featuring complimentary access to XLMiner, the Microsoft Office Excel add-in, this book allows read...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Shmueli, Galit, 1971-
Otros Autores: Patel, Nitin R. (Nitin Ratilal), Bruce, Peter C., 1953-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2010.
Edición:2nd ed.
Temas:
Microsoft Excel (Computer file)
Business > Data processing.
Data mining.
Management > Data processing.
Gestion > Informatique.
Exploration de données (Informatique)
Management > Data processing
Business > Data processing
Data mining
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Introduction
  • Overview of the data mining process
  • Data visualization
  • Dimension reduction
  • Evaluating classification and predictive performance
  • Multiple linear regression
  • knearest neighbors (kNN)
  • Naive bayes
  • Classification and regression trees
  • Logistic regression
  • Neural nets
  • Discriminant analysis
  • Association rules
  • Cluster Analysis
  • Handling time series
  • Regression-based forecasting
  • Smoothing methods
  • Cases.

Ejemplares similares