Customer segmentation and clustering using SAS Enterprise miner /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Collica, Randall S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, N.C. : SAS Institute, ©2011.
Edición:2nd ed.
Colección:SAS Press series.
Temas:
Enterprise miner.
SAS (Computer file)
Enterprise miner
Business > Data processing.
Customer relations > Management > Data processing.
Relationship marketing > Data processing.
Data mining.
SAS (Computer program language)
Management > Data processing.
Gestion > Informatique.
Marketing relationnel > Informatique.
Exploration de données (Informatique)
SAS (Langage de programmation)
Management > Data processing
Business > Data processing
Customer relations > Management > Data processing
Data mining
Commerce.
Business & Economics.
Marketing & Sales.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Why segment? The motivation for segment-based descriptive models
  • Distance : the basic measures of similarity and association
  • Segmentation using a cell-based approach
  • Segmentation of several attributes with clustering
  • Clustering of many attributes
  • When and how to update cluster segments
  • Using segments in predictive models
  • Clustering and the issue of missing data
  • Product affinity and clustering of product affinities
  • Computing segments using SOM/Kohonen for clustering
  • Segmentation of textual data
  • Clustering of product associations
  • Predicting attitudinal segments from survey responses
  • Combining attitudinal and behavioral segments
  • Segmentation of customer transactions.

Ejemplares similares