Expert Systems for Scanner Data Environments is popular PDF and ePub book, written by John M. McCann in 2012-12-06, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Expert Systems for Scanner Data Environments can be Read Online from any device for your convenience.
Expert Systems for Scanner Data Environments Book PDF Summary
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.
Detail Book of Expert Systems for Scanner Data Environments PDF
- Author : John M. McCann
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9789401139236
- Genre : Business & Economics
- Total Page : 226 pages
- Language : English
- PDF File Size : 9,5 Mb
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