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Cognition-Driven Decision Support for Business Intelligence (Softcover)
Models, Techniques, Systems and Applications
Erschienen 04.05.2012 - Kartoniert, 252 Seiten, 235mm x 155mm x 14mm, Sprache(n): eng
Print on Demand. Lieferbar innerhalb von 7 bis 10 Tagen
Present theoretical models and practical techniques, systems and applications of cognition-driven Decision Support Systems First book to systematically present the theories and technologies of cognitive decision support for Business Intelligence
Mehr anzeigenPresent theoretical models and practical techniques, systems and applications of cognition-driven Decision Support Systems First book to systematically present the theories and technologies of cognitive decision support for Business Intelligence
- Produktart:
- 📚 Bücher
- Anbieter:
- MARZIES Buch- und Medienhandel
- Bestell-Nr.:
- A19822252
- Kategorie(n):
- Management: Entscheidungstheorie | Wirtschaftsmathematik und -informatik, IT-Management | Unternehmensforschung | Mathematik für Ingenieure | Unternehmensanwendungen
- ISBN | EAN:
- 3642260330 | 9783642260339
- Stichworte:
- BusinessIntelligence, Cognition, Model, Semantics, algorithm, algorithms, datawarehouse, informationretrieval, knowledge, knowledgerepresentation, linearoptimization…
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- Vorauskasse, PayPal
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Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers¿ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today¿s business domain, decision making is becoming increasingly complex. To make a successful decision, managers¿ SA about their business environments becomes a critical factor.
This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager¿s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger¿s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager¿s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and twoillustrative applications of this system are discussed.
This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager¿s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger¿s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager¿s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and twoillustrative applications of this system are discussed.
Prof. Li Niu received his BSc in 1992, MSc in 1995 from Jilin University, and his Ph.D in 1998 from Changchun Institute of Applied Chemistry, Chinese Academy of Sciences. Then he worked as a research associate at Åbo Akademi University, Finland. In 2003, he joined Changchun Institute of Applied Chemistry as a full professor of chemistry. Now he is the Director of Engineering Laboratory for Modern Analytical Techniques. He was awarded the National Science Fund for Distinguished Young Scholars in 2012. Prof. Niu has co-authored over 160 articles in a number of prestigious international journals, i.e. Angew. Chem. Int. Ed., Adv. Mater., with an h-index of 30 and more than 3500 citations. His research interests include nanomaterials electrochemistry, conducting polymers and chemosensors, and spectro-electrochemistry.
