Cognitive Information Systems in Management Sciences Intelligent Data-Centric Systems Series
Auteur : Ogiela Lidia Dominika
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
1. Introduction2. Intelligence computer data analysis techniques3. The fundamentals of Cognitive Informatics4. Cognitive information systems5. The fundamentals of management sciences6. Intelligent cognitive information systems in management application7. Summary
- 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
Date de parution : 03-2017
Ouvrage de 148 p.
19x23.3 cm
Thèmes de Cognitive Information Systems in Management Sciences :
Mots-clés :
Automatic interpretation; Cognitive informatics; Cognitive information systems; Cognitive management systems; Cognitive resonance; Cognitive science; Cognitive systems; Computational linguistics; Computer understanding; Data analysis; Data interpretation; Data processing; Data understanding; Decision processes; Denotational mathematics; Extended data analysis; Human perception model; Information management; Intelligent information systems; Knowledge management; Learning processes; Management processes; Memory; Semantic analysis; Techniques of information analysis