Data mining for business analytics : concepts, techniques, and applications with XLMiner /

Detalles Bibliográficos
Autor principal: Shmueli, Galit, 1971- (autor)
Otros Autores: Bruce, Peter C., 1953- (autor), Patel, Nitin R. (Nitin Ratilal) (autor)
Formato: eBook
Lenguaje:English
Publicado: Hoboken, New Jersey : John Wiley & Sons, 2016.
Edición:Third edition.
Materias:
Microsoft Excel (Programa para computadora)
Negocios > Procesamiento de datos.
Minería de datos
Tabla de Contenidos:
  • Overview of the data mining process
  • Data visualization
  • Dimension reduction
  • Evaluating predictive performance
  • Multiple linear regression
  • k-Nearest Neighbors (kNN)
  • The Naive Bayes Classifier
  • Classification and regression trees
  • Logistic regression
  • Neural nets
  • Discriminant analysis
  • Combining methods : ensembles and uplift modeling
  • Association rules and collaborative filtering
  • Cluster analysis
  • Handling time series
  • Regression-based forecasting
  • Smoothing methods
  • Social network analytics
  • Text mining.

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