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2. Intelligence computer data analysis techniques
2.1 Data processing
2.2 Data recognition
2.3 Classification procedures
2.4 Computational intelligence description approaches
3. The fundamentals of Cognitive Informatics
3.1 Basic formalisms from Cognitive informatics
3.2 Cognitive resonance computer model for data analysis
3.3 Extended cognitive resonance learning abilities for decision processes
4. Cognitive information systems
4.1 Definition of cognitive systems
4.2 Human fundamentals in cognitive data analysis and decision making
4.3 Types of cognitive data analysis systems
4.4 Cognitive data understanding systems
4.5 Decision processes in cognitive systems
5. The fundamentals of management sciences
5.1 Decision processes in management sciences
5.2 Computational intelligence in data analysis in management processes
6. Intelligent cognitive information systems in management application
6.1 Types and different ways of information flow in cognitive management systems
6.2 Classification of intelligent cognitive systems in management
6.3 Interpretation and analysis data processes in cognitive management system
6.4 Examples of cognitive information systems in management
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
Researchers and professionals in computer science and applied informatics, intelligent processing systems and management science
- No. of pages:
- © Academic Press 2017
- 6th March 2017
- Academic Press
- Paperback ISBN:
- eBook ISBN:
Computer scientist, mathematician, economist. She received Master of Science in mathematics from the Pedagogical University in Krakow, Poland, and Master of Business Administration in management sciences and marketing from AGH University of Science and Technology in Krakow, both in 2000. In 2005 she was awarded the title of Doctor of Computer Science and Engineering at the Faculty of Electrical, Automatic Control, Computer Science and Electronic Engineering of the AGH University of Science and Technology, for thesis and research on cognitive informatics and its application in intelligent information systems. In 2016 she received Habilitation from the Faculty of Electrical Engineering and Computer Science at VŠB – Technical University of Ostrava in Czech Republic. She is an author of more than 150 scientific international publications on information systems, cognitive analysis techniques, cognitive economy and cognitive management, biomedical engineering, and computational intelligence methods. She is a member of few prestigious international scientific societies as: SIAM – Society for Industrial and Applied Mathematics, as well as SPIE – The International Society for Optical Engineering, and CSS – Cognitive Science Society. Currently she is at the associate professor position, and works at the AGH University of Science and Technology.
Associate Professor, AGH University of Science and Technology, Krakow, Poland