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
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.