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Expert Systems for Scanner Data Environments: The Marketing Workbench Laboratory Experience (International Series in Quantitative Marketing)

Expert Systems for Scanner Data Environments: The Marketing Workbench Laboratory Experience (International Series in Quantitative Marketing)

Expert Systems for Scanner Data Environments: The Marketing Workbench Laboratory
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Expert Systems for Scanner Data Environments: The Marketing Workbench Laboratory Experience (International Series in Quantitative Marketing) Paperback - 2012

by McCann, John M. M

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  • Title Expert Systems for Scanner Data Environments: The Marketing Workbench Laboratory Experience (International Series in Quantitative Marketing)
  • Author McCann, John M. M
  • Binding Paperback
  • Edition Softcover reprin
  • Condition Used - Good
  • Pages 224
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2012-10-06
  • Bookseller's Inventory # 940105746X.G
  • ISBN 9789401057462 / 940105746X
  • Weight 0.76 lbs (0.34 kg)
  • Dimensions 9.21 x 6.14 x 0.51 in (23.39 x 15.60 x 1.30 cm)
  • Category Business / Economics / Finance
  • Dewey Decimal Code 658.800
  • Quantity available 1

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Reader reviews for Expert Systems for Scanner Data Environments: The Marketing Workbench Laboratory Experience (International Series in Quantitative Marketing)

From the publisher

This book is about the role of expert systems in marketing, particularly in the consumer goods industry. Section I describes the changing nature of consumer marketing and presents the rationale and need for expert systems. The remainder of the book combines a tutorial on expert systems with a series of expert system prototypes. The tutorial material is presented in three places. First, section II is devoted to introducing expert systems in general. Chapter 3 provides a general introduction to the topic, which is continued in chapter 4 where a small expert system (the Promotion Advisor) is used to illustrate the important features of a backward-chaining, rule-based system. The promotion theme is extended in chapter 5 where a larger system is presented. The material in all three of these chapters was designed as an introduction and tutorial on the most common technology for building applied expert systems: the backward-chaining, rule-based inference engine. Tutorial material is also contained in the body of the chapters that describe the prototypes. This material is usually in the form of sample rules and a description of the process for applying the rules. The third location of the expert system material is in chapters that follow discussions of the prototypes. Chapter 7 is a technical chapter on the coupling of expert systems to traditional systems.
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