Behavior Informatics: An Informatics Perspective for Behavior Studies

Cao, L; Yu, P

Behavior Informatics: An Informatics Perspective for Behavior Studies

Cao, L

Yu, P

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Publisher:: IEEE Computer Society
Publication Type:: Journal Article
Citation:: IEEE Computational Intelligence Bulletin, 2009, 10 (1), pp. 6 - 11
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429	en_US
dc.contributor.author	Yu, P	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	IEEE Computational Intelligence Bulletin, 2009, 10 (1), pp. 6 - 11	en_US
dc.identifier.issn	1727-6004	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12544
dc.description.abstract	Behavior is increasingly recognized as a key entity in business intelligence and problem-solving. Even though behavior analysis has been extensively investigated in social sciences and behavior sciences, in which qualitative and psychological methods have been the main means, nevertheless to conduct formal representation and deep quantitative analysis it is timely to investigate behavior from the informatics perspective. This article highlights the basic framework of behavior informatics, which aims to supply methodologies, approaches, means and tools for formal behavior modeling and representation, behavioral data construction, behavior impact modeling, behavior network analysis, behavior pattern analysis, behavior presentation, management and use. Behavior informatics can greatly complement existing studies in terms of providing more formal, quantitative and computable mechanisms and tools for deep understanding and use.	en_US
dc.publisher	IEEE Computer Society	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0667060
dc.relation	http://purl.org/au-research/grants/arc/DP0773412
dc.relation	http://purl.org/au-research/grants/arc/LP0775041R1
dc.relation	http://purl.org/au-research/grants/arc/DP0988016
dc.relation	http://purl.org/au-research/grants/arc/LP0989721R1
dc.relation.ispartof	IEEE Computational Intelligence Bulletin	en_US
dc.rights	© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Behavior Informatics: An Informatics Perspective for Behavior Studies	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	10	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	08 Information and Computing Sciences	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/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.issue	1	en_US
pubs.volume	10	en_US

Abstract:

Behavior is increasingly recognized as a key entity in business intelligence and problem-solving. Even though behavior analysis has been extensively investigated in social sciences and behavior sciences, in which qualitative and psychological methods have been the main means, nevertheless to conduct formal representation and deep quantitative analysis it is timely to investigate behavior from the informatics perspective. This article highlights the basic framework of behavior informatics, which aims to supply methodologies, approaches, means and tools for formal behavior modeling and representation, behavioral data construction, behavior impact modeling, behavior network analysis, behavior pattern analysis, behavior presentation, management and use. Behavior informatics can greatly complement existing studies in terms of providing more formal, quantitative and computable mechanisms and tools for deep understanding and use.

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http://hdl.handle.net/10453/12544