Description
Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI).
2009, XII, 237 p.
Printed book
Hardcover
? 149,99 € | £135.00 | $209.00
? *160,49 € (D) | 164,99 € (A) | CHF 200.00
eBook
Available from your library or
? springer.com/shop
MyCopy
Printed eBook for just
? € | $ 24.99
? springer.com/mycopy
Order online at springer.com ? or for the Americas call (toll free) 1-800-SPRINGER ? or email us at:
[email protected]. ? For outside the Americas call +49 (0) 6221-345-4301 ? or email us at:
[email protected].
The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for
Germany, the €(A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices
exclusive of carriage charges. Prices and other details are subject to change without notice. All errors and omissions excepted.
L. Niu, J. Lu, G. Zhang
Cognition-Driven Decision Support for Business Intelligence
Models, Techniques, Systems and Applications
Series: Studies in Computational Intelligence, Vol. 238
? Presents theoretical models, 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
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 two illustrative applications of this system are
discussed.
doc_124298261.pdf
Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI).
2009, XII, 237 p.
Printed book
Hardcover
? 149,99 € | £135.00 | $209.00
? *160,49 € (D) | 164,99 € (A) | CHF 200.00
eBook
Available from your library or
? springer.com/shop
MyCopy
Printed eBook for just
? € | $ 24.99
? springer.com/mycopy
Order online at springer.com ? or for the Americas call (toll free) 1-800-SPRINGER ? or email us at:
[email protected]. ? For outside the Americas call +49 (0) 6221-345-4301 ? or email us at:
[email protected].
The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for
Germany, the €(A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices
exclusive of carriage charges. Prices and other details are subject to change without notice. All errors and omissions excepted.
L. Niu, J. Lu, G. Zhang
Cognition-Driven Decision Support for Business Intelligence
Models, Techniques, Systems and Applications
Series: Studies in Computational Intelligence, Vol. 238
? Presents theoretical models, 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
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 two illustrative applications of this system are
discussed.
doc_124298261.pdf