Predictive modeling with SAS Enterprise Miner : practical solutions for business applications, second edition /

Annotation

Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Sarma, Kattamuri S.
Format: Électronique eBook
Langue:Inglés
Publié: Cary, N.C. : SAS Institute, 2013.
Édition:2nd ed.
Collection:SAS Press series.
Sujets:
Enterprise miner.
SAS (Computer file)
Business > Data processing.
Data mining.
Regression analysis > Computer programs.
Statistics > Data processing.
Management > Data processing.
Data Mining
Gestion > Informatique.
Exploration de données (Informatique)
Statistique > Informatique.
COMPUTERS > Mathematical & Statistical Software.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • Research strategy
  • Getting started with predictive modeling
  • Variable selection and transformation of variables
  • Building decision tree models to predict response and risk
  • Neural network models to predict response and risk
  • Regression models
  • Comparison and combination of different models
  • Customer profitability
  • Introduction to predictive modeling with textual data.

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