Artificial intelligence marketing and predicting consumer choice : an overview of tools and techniques
By: Struhl, Steven M
Material type:![](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 658.80028563 ST AR (Browse shelf) | Available | T0057031 |
Total holds: 0
, Shelving location: Main Collection Close shelf browser
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
||
658.800285 WE GL Global electronic commerce : theory and case studies / | 658.800285 WE GL Global electronic commerce : theory and case studies / | 658.8002854678 PR PR A practical guide to affiliate marketing : quick reference for affiliate managers & merchants / | 658.80028563 ST AR Artificial intelligence marketing and predicting consumer choice : | 658.80028563 ST AR Artificial intelligence for marketing : | 658.800683 CI CO Compensating the sales force / | 658.800722 AB ST Strategic marketing : |
Includes bibliographical references and index.
Preface -- Who should read this book and why? -- Getting the project going -- Conjoint, discrete choice and other trade-offs : let's do an experiment -- Creating the best, newest thing : discrete choice modelling -- Conjoint analysis and its uses -- Predictive models 2: Classifications that grow on trees -- Remarkable predictive models with Bayes Nets -- Putting it together : what to use when -- Index.