Warning message generation by information filtering technique

Lu, J; Ma, J; Zhang, G

Warning message generation by information filtering technique

Lu, J

Ma, J Zhang, G

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Publisher:: Inderscience Publishers
Publication Type:: Journal Article
Citation:: International Journal of Nuclear Knowledge Management, 2007, 2 (4), pp. 435 - 448
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Ma, J	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	International Journal of Nuclear Knowledge Management, 2007, 2 (4), pp. 435 - 448	en_US
dc.identifier.issn	1479-540X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5548
dc.description.abstract	This paper proposes a two-stage model for generating warning messages by using information filtering techniques. In this model, information is represented by its attributes and processed through two stages. At the first stage, exceptions are separated from normal information by the cognitive filtering technique. At the second stage, a warning message is generated from critical exceptions by the collaborative filtering approach. An example is discussed to illustrate the proposed model.	en_US
dc.publisher	Inderscience Publishers	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0559213
dc.relation.ispartof	International Journal of Nuclear Knowledge Management	en_US
dc.title	Warning message generation by information filtering technique	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	2	en_US
utslib.for	0915 Interdisciplinary Engineering	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.consider-herdc	true	en_US
pubs.issue	4	en_US
pubs.volume	2	en_US

Abstract:

This paper proposes a two-stage model for generating warning messages by using information filtering techniques. In this model, information is represented by its attributes and processed through two stages. At the first stage, exceptions are separated from normal information by the cognitive filtering technique. At the second stage, a warning message is generated from critical exceptions by the collaborative filtering approach. An example is discussed to illustrate the proposed model.

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

http://hdl.handle.net/10453/5548