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Expert Systems for Scanner Data Environments

The Marketing Workbench Laboratory Experience

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Expert Systems for Scanner Data Environments John M. McCann
Koda Libristo: 07007617
Založba Springer, oktober 2012
This book is about the role of expert systems in marketing, particularly in the consumer goods indus... Celoten opis
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sprach Torsten Woywod / Knjiga Mehka
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Umění naslouchat a být slyšet Rami Bleckt / Knjiga Mehka
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TRILOGY Carpenter Brut / Zvok Zvočni CD
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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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O knjigi

Polni naslov Expert Systems for Scanner Data Environments
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2012
Število strani 224
EAN 9789401057462
ISBN 940105746X
Koda Libristo 07007617
Založba Springer
Teža 379
Mere 155 x 235 x 14
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1 Dodajte knjigo v košarico in izberite dostavo kot darilo 2 V zameno vam bomo poslali kupon 3 Knjiga bo dostavljena na naslov obdarovanca

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