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

Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. --

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Sarma, Kattamuri S. (Author)
Format: Electronic eBook
Language:Inglés
Published: Cary, NC : SAS Institute, [2017]
Edition:Third edition.
Subjects:
Enterprise miner.
SAS (Computer file)
Enterprise miner
Business > Data processing.
Data mining.
Regression analysis > Computer programs.
Statistics > Data processing.
Management > Data processing.
Gestion > Informatique.
Exploration de données (Informatique)
Statistique > Informatique.
COMPUTERS > Data Processing.
BUSINESS & ECONOMICS > Industrial Management.
BUSINESS & ECONOMICS > Management.
Management > Data processing
Business > Data processing
Data mining
Regression analysis > Computer programs
Statistics > Data processing
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1: Research Strategy
  • Chapter 2: Getting Started with Predictive Modeling
  • Chapter 3: Variable Selection and Transformation of Variables
  • Chapter 4: Building Decision Tree Models to Predict Response and Risk
  • Chapter 5: Neural Network Models to Predict Response and Risk
  • Chapter 6: Regression Models
  • Chapter 7: Comparison and Combination of Different Models
  • Chapter 8: Customer Profitability
  • Chapter 9: Introduction to Predictive Modeling with Textual Data.

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