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|a Struhl, Steven M.,
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|a Artificial intelligence marketing and predicting consumer choice :
|b an overview of tools and techniques /
|c Steven Struhl.
|
264 |
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1 |
|a New York :
|b Kogan Page Ltd,
|c [2017]
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|a 1 online resource
|
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|a text
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|a Includes bibliographical references and index.
|
505 |
0 |
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|a 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.
|
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|a Description based on print version record and CIP data provided by publisher.
|
520 |
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|a The goal of Artificial Intelligence Marketing and Predicting Consumer Choice is to explain and contrast the widely differing approaches to predictive analytics and predicting consumer choice, in practical terms that are grounded in business reality.
|
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Marketing research.
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650 |
|
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|a Consumer behavior.
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650 |
|
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|a Artificial intelligence.
|
650 |
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2 |
|a Artificial Intelligence
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650 |
|
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|a Marketing
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650 |
|
6 |
|a Consommateurs
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650 |
|
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|a Intelligence artificielle.
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650 |
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|a artificial intelligence.
|2 aat
|
650 |
|
7 |
|a Sales & marketing.
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|
650 |
|
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|a Data analysis: general.
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|
650 |
|
7 |
|a Behavioural economics.
|2 bicssc
|
650 |
|
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|a BUSINESS & ECONOMICS
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|
650 |
|
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|a BUSINESS & ECONOMICS
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|
650 |
|
7 |
|a BUSINESS & ECONOMICS
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|
650 |
|
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|a BUSINESS & ECONOMICS
|x Organizational Behavior.
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|
650 |
|
7 |
|a Artificial intelligence.
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650 |
|
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|a Consumer behavior.
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|a Marketing research.
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|a Behavioural economics.
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776 |
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8 |
|i Print version:
|a Struhl, Steven M., author.
|t Artificial intelligence marketing and predicting consumer choice
|b 1st Edition.
|d New York : Kogan Page Ltd, [2017]
|z 9780749479558
|w (DLC) 2016055015
|
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