Exchange rate modelling for E-negotiators using text mining techniques

Zhang, D; Simoff, S; Debenham, J

Exchange rate modelling for E-negotiators using text mining techniques

Zhang, D Simoff, S Debenham, J

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Publication Type:: Chapter
Citation:: 2007, 37 pp. 191 - 211
Issue Date:: 2007-03-19

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Field	Value	Language
dc.contributor.author	Zhang, D	en_US
dc.contributor.author	Simoff, S	en_US
dc.contributor.author	Debenham, J	en_US
dc.date.issued	2007-03-19	en_US
dc.identifier.citation	2007, 37 pp. 191 - 211	en_US
dc.identifier.isbn	3540370153	en_US
dc.identifier.isbn	9783540370154	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7855
dc.description.abstract	The Curious Negotiator project aims at the automation (to the extent possible) of the delivery and use of information by negotiation agents in electronic market environment. This chapter presents a framework for using text mining agents to provide processed online information to negotiation agents. It includes a news extraction algorithm, a quantitative process model based on the extracted news information, which is exemplified by an exchange rate prediction model, and a communication protocol between data mining agents and negotiation agents. This information is critical for the negotiation agents to form their negotiation strategies. © Springer-Verlag Berlin Heidelberg 2007.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0451692
dc.relation.isbasedon	10.1007/978-3-540-37017-8_8	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Exchange rate modelling for E-negotiators using text mining techniques	en_US
dc.type	Chapter
utslib.citation.volume	37	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	1503 Business and Management	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 Software
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	37	en_US

Abstract:

The Curious Negotiator project aims at the automation (to the extent possible) of the delivery and use of information by negotiation agents in electronic market environment. This chapter presents a framework for using text mining agents to provide processed online information to negotiation agents. It includes a news extraction algorithm, a quantitative process model based on the extracted news information, which is exemplified by an exchange rate prediction model, and a communication protocol between data mining agents and negotiation agents. This information is critical for the negotiation agents to form their negotiation strategies. © Springer-Verlag Berlin Heidelberg 2007.

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http://hdl.handle.net/10453/7855