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Cognitive information systems in management sciences /

Cognitive Information Systems in Management Sciences 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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ogiela, Lidia (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom : Academic Press is an imprint of Elsevier, 2017.
Colección:Intelligent data centric systems.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Ogiela, Lidia,  |e author. 
245 1 0 |a Cognitive information systems in management sciences /  |c Lidia Ogiela. 
264 1 |a London, United Kingdom :  |b Academic Press is an imprint of Elsevier,  |c 2017. 
264 4 |c �2017 
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490 1 |a Intelligent data-centric systems 
505 0 |a Front Cover; Cognitive Information Systems in Management Sciences; Copyright Page; Contents; Biography; Foreword by Prof. Dr. Fang-Yie Leu; Foreword by Prof. Ing. Francesco Palmieri, Ph. D.; Preface; Acknowledgment; 1 Introduction; References; 2 The Fundamentals of Cognitive Informatics; 2.1 Basic Formalisms of Cognitive Informatics; 2.2 Data Analysis Techniques; 2.3 Cognitive Resonance Computer Model for Data Analysis; 2.4 Extended Cognitive Resonance Learning Abilities for Decision Processes; References; 3 Intelligent Computer Data Analysis Techniques; 3.1 Data Processing. 
505 8 |a 3.2 Data Recognition and Understanding3.3 Classification Procedures; 3.4 Computational Intelligence Description Approaches; References; 4 The Fundamentals of Management Sciences; 4.1 Decision Processes in Management Sciences; 4.2 Computational Intelligence in Data Analysis in Management Processes; References; 5 Cognitive Information Systems; 5.1 Definition of Cognitive Systems; 5.2 Human Perception Models in Cognitive Data Analysis and Decision-Making; 5.3 Types of Cognitive Data Analysis Systems; 5.4 Cognitive Data Understanding Systems; 5.5 Decision Processes in Cognitive Systems. 
500 |a Includes index. 
588 0 |a Online resource; title from PDF title page (ScienceDirect, viewed March 17, 2017). 
504 |a Includes bibliographical references and index. 
520 |a Cognitive Information Systems in Management Sciences 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. 
542 |f Copyright &#169: Elsevier Science & Technology  |g 2017 
650 0 |a Computational intelligence. 
650 0 |a Management information systems. 
650 2 |a Management Information Systems  |0 (DNLM)D008331 
650 6 |a Intelligence informatique.  |0 (CaQQLa)201-0265216 
650 6 |a Syst�emes d'information de gestion.  |0 (CaQQLa)201-0033707 
650 7 |a COMPUTERS  |x Intelligence (AI) & Semantics.  |2 bisacsh 
650 7 |a Computational intelligence  |2 fast  |0 (OCoLC)fst00871995 
650 7 |a Management information systems  |2 fast  |0 (OCoLC)fst01007271 
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830 0 |a Intelligent data centric systems. 
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