Customer and business analytics : applied data mining for business decision making using R /

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Putler, Daniel S. (Author), Krider, Robert E. (Author)
Format: Electronic eBook
Language:Inglés
Published: Boca Raton, FL : CRC Press, ©2012.
Series:Chapman & Hall/CRC the R series (CRC Press)
Subjects:
Database marketing.
Data mining.
Decision making > Data processing.
R (Computer program language)
Database management.
Bases de données > Marketing.
Exploration de données (Informatique)
Prise de décision > Informatique.
R (Langage de programmation)
Bases de données > Gestion.
COMPUTERS > Database Management > Data Mining.
MATHEMATICS > Probability & Statistics > General.
Electronic books.
Software.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Part I I Purpose and Process
  • chapter 1 Database Marketing and Data Mining
  • chapter 2 A Process Model for Data Mining--CRISP-DM
  • part II II Predictive Modeling Tools
  • chapter 3 Basic Tools for Understanding Data
  • chapter 4 Multiple Linear Regression
  • chapter 5 Logistic Regression
  • chapter 6 Lift Charts
  • chapter 7 Tree Models
  • chapter 8 Neural Network Models
  • chapter 9 Putting It All Together
  • part III III Grouping Methods
  • chapter 10 Ward's Method of Cluster Analysis and Principal Components
  • chapter 11 K-Centroids Partitioning Cluster Analysis.

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