Intelligent Decision Support Methods: The Science of Knowledge Work

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This book is a comprehensive explanation of how powerful technologies really work in business using a pragmatic business approach in describing when and how to use them. Detailed case studies are provided in management information systems, information systems, computer science, and management. Also, focuses on modeling techniques, such as rules, case-based reasoning, fuzzy logic, neural nets, genetic algorithms, and machine learning. An excellent tool for management training ...
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More About This Book

Overview

This book is a comprehensive explanation of how powerful technologies really work in business using a pragmatic business approach in describing when and how to use them. Detailed case studies are provided in management information systems, information systems, computer science, and management. Also, focuses on modeling techniques, such as rules, case-based reasoning, fuzzy logic, neural nets, genetic algorithms, and machine learning. An excellent tool for management training programs.
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Editorial Reviews

Booknews
Overviews artificial intelligence (AI) concepts and models for those in business, focusing on the symbolic, connectionist, evolutionary, and inductive approaches and on applications. Coverage includes the vocabulary of intelligence density, data-driven decision support, neural networks, fuzzy logic, and machine learning. Includes chapter key words and discussion questions, and seven case studies of how different types of organizations used AI to solve specific problems. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780135199350
  • Publisher: Prentice Hall Professional Technical Reference
  • Publication date: 12/28/1996
  • Edition number: 1
  • Pages: 244
  • Product dimensions: 7.19 (w) x 9.49 (h) x 0.75 (d)

Table of Contents

Preface
Ch. 1 Information Systems: Past, Present, and Emerging 1
Ch. 2 Intelligence Density: A Metric for Knowledge Work 7
Ch. 3 The Vocabulary of Intelligence Density 15
Ch. 4 Data-Driven Decision Support 30
Ch. 5 Evolving Solutions: Genetic Algorithms 52
Ch. 6 Simulating the Brain to Solve Problems: Neural Networks 77
Ch. 7 Putting Expert Reasoning in a Box: Rule-Based Systems 104
Ch. 8 Dealing with Linguistic Ambiguity: Fuzzy Logic 126
Ch. 9 Solving Problems by Analogy: Case-Based Reasoning 149
Ch. 10 Deriving Rules from Data: Machine Learning 167
App. A Saving Time and Money with Objects 191
App. B AI Software Products 199
App. C: General Reading 201
App. D: Case Studies 203
App. E: Chapter Key Words and Discussion Questions 227
Index 235
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