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Cognitive Information Systems in Management Sciences

Book Description

Cognitive Information Systems in ManagementSciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering.

Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval.

Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

  • Discusses the basic concepts and principles in cognitive information systems, providing ‘real-world' implementation examples
  • Explains the relationship between intelligent computer data analysis and how to utilize computational intelligent approaches to enhance information retrieval
  • Provides a unified structured approach that can be used to develop information flow in cognitive management systems

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Biography
  7. Foreword by Prof. Dr. Fang-Yie Leu
  8. Foreword by Prof. Ing. Francesco Palmieri, Ph.D.
  9. Preface
  10. Acknowledgment
  11. Chapter 1. Introduction
    1. Abstract
    2. References
  12. Chapter 2. The Fundamentals of Cognitive Informatics
    1. Abstract
    2. 2.1 Basic Formalisms of Cognitive Informatics
    3. 2.2 Data Analysis Techniques
    4. 2.3 Cognitive Resonance Computer Model for Data Analysis
    5. 2.4 Extended Cognitive Resonance Learning Abilities for Decision Processes
    6. References
  13. Chapter 3. Intelligent Computer Data Analysis Techniques
    1. Abstract
    2. 3.1 Data Processing
    3. 3.2 Data Recognition and Understanding
    4. 3.3 Classification Procedures
    5. 3.4 Computational Intelligence Description Approaches
    6. References
  14. Chapter 4. The Fundamentals of Management Sciences
    1. Abstract
    2. 4.1 Decision Processes in Management Sciences
    3. 4.2 Computational Intelligence in Data Analysis in Management Processes
    4. References
  15. Chapter 5. Cognitive Information Systems
    1. Abstract
    2. 5.1 Definition of Cognitive Systems
    3. 5.2 Human Perception Models in Cognitive Data Analysis and Decision-Making
    4. 5.3 Types of Cognitive Data Analysis Systems
    5. 5.4 Cognitive Data Understanding Systems
    6. 5.5 Decision Processes in Cognitive Systems
    7. References
  16. Chapter 6. Intelligent Cognitive Information Systems in Management Applications
    1. Abstract
    2. 6.1 Types and Different Ways of Information Flow in Cognitive Management Systems
    3. 6.2 Classification of Intelligent cognitive Systems in Management Applications
    4. 6.3 Interpretation and Data Analysis Processes in Cognitive Management System
    5. 6.4 Use Cases of Cognitive Information Systems in Management Applications
    6. 6.5 Examples of Application Domains and Future Perspectives
    7. References
  17. Chapter 7. Summary
    1. Abstract
    2. References
  18. Index