A model of cognition-driven decision process for business intelligence

Niu, L; Zhang, G

A model of cognition-driven decision process for business intelligence

Niu, L Zhang, G

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008, 2008, pp. 876 - 879
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Niu, L	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008, 2008, pp. 876 - 879	en_US
dc.identifier.isbn	9780769534961	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10925
dc.description.abstract	We proposed a cognition-driven decision process model for business intelligence. In this model, a manager's situation awareness (SA) and mental models are developed and enriched for naturalistic decision making based on traditional business intelligence systems. Mental models are also used to supervise the process of situation information retrieval and presentation. The final decision-making process is based on recognition-primed decision model. © 2008 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0557154
dc.relation	http://purl.org/au-research/grants/arc/DP0559213
dc.relation.ispartof	Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008	en_US
dc.relation.isbasedon	10.1109/WIIAT.2008.216	en_US
dc.title	A model of cognition-driven decision process for business intelligence	en_US
dc.type	Conference Proceeding
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	080105 Expert Systems	en_US
dc.location.activity	Sydney, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

We proposed a cognition-driven decision process model for business intelligence. In this model, a manager's situation awareness (SA) and mental models are developed and enriched for naturalistic decision making based on traditional business intelligence systems. Mental models are also used to supervise the process of situation information retrieval and presentation. The final decision-making process is based on recognition-primed decision model. © 2008 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/10925