Daniel S. Putler, Robert E. Krider

Customer and Business Analytics (eBook, PDF)

Applied Data Mining for Business Decision Making Using R

• Format: PDF

Produktbeschreibung

Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities. It explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. The authors also give insight into some of the challenges faced when deploying these tools. Readers can access a powerful, GUI-enhanced customized R package online as well as example data sets on the book's website.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 315
• Erscheinungstermin: 7. Mai 2012
• Englisch
• ISBN-13: 9781466503984
• Artikelnr.: 57106145

Autorenporträt

Dr. Daniel S. Putler is a Data Artisan in Residence at Alteryx, a business intelligence/analytics software company.

Dr. Robert E. Krider is a professor of marketing in the Beedie School of Business at Simon Fraser University. He has also taught in Hong Kong, Shanghai, Portugal, and Germany. His research tackles questions of customer and competitor behavior in retailing and media industries.

Inhaltsangabe

I Purpose and Process: Database Marketing and Data Mining. A Process Model
for Data Mining-CRISP-DM. II Predictive Modeling Tools: Basic Tools for
Understanding Data. Multiple Linear Regression. Logistic Regression. Lift
Charts. Tree Models. Neural Network Models. Putting It All Together. III
Grouping Methods: Ward's Method of Cluster Analysis and Principal
Components. K-Centroids Partitioning Cluster Analysis. Bibliography. Index.