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Artificial intelligence marketing and predicting consumer choice : an overview of tools and techniques
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Artificial intelligence marketing and predicting consumer choice : an overview of tools and techniques/ Steven Struhl. |
| 개인저자 | Struhl, Steven M.,author. |
| 형태사항 | 1 online resource (xvi, 256 pages). |
| ISBN | 9780749479565 0749479566 |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | 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 : via classifications that grow on trees -- Remarkable predictive models with Bayes Nets -- Putting it together : what to use when. |
| 이용제한사항 | Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk. |
| 요약 | 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. |
| 일반주제명 | Marketing research. Consumer behavior. Artificial intelligence. BUSINESS & ECONOMICS --Industrial Management. BUSINESS & ECONOMICS --Management. BUSINESS & ECONOMICS --Management Science. BUSINESS & ECONOMICS --Organizational Behavior. Artificial intelligence. Consumer behavior. Marketing research. |
| 언어 | 영어 |
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