Artificial intelligence marketing and predicting consumer choice : an overview of tools and techniques

Steven Struhl

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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Year of publication:	[2017]
Authors:	Struhl, Steven M.
Publisher:	London : Kogan Page
Subject:	IT-gestütztes Marketing \| Computer-assisted marketing \| Künstliche Intelligenz \| Artificial intelligence \| Konsumentenverhalten \| Consumer behaviour \| Prognoseverfahren \| Forecasting model \| Marketingforschung \| Verbraucherverhalten \| Prognose
Description of contents:	Table of Contents [gbv.de]

Extent:	xiii, 254 Seiten Illustrationen, Diagramme 24 cm
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-0-7494-7955-8 ; 9780749479565 ; 978-0-7494-7956-5
Classification:	Marketing
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011630359