Identification of important news for exchange rate modeling

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dc.contributor.author Zhang, Debbie en_US
dc.contributor.author Simoff, Simeon en_US
dc.contributor.author Debenham, John en_US
dc.contributor.editor Bramer, M en_US
dc.date.accessioned 2009-11-09T02:45:15Z
dc.date.available 2009-11-09T02:45:15Z
dc.date.issued 2006 en_US
dc.identifier 2006004196 en_US
dc.identifier.citation Zhang Debbie, Simoff Simeon, and Debenham John 2006, 'Identification of important news for exchange rate modeling', Springer, New York, USA, pp. 475-482. en_US
dc.identifier.issn 0-387-34654-6 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1744
dc.description.abstract Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify the patterns for exchange rat en_US
dc.publisher Springer en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-0-387-34747-9_49 en_US
dc.title Identification of important news for exchange rate modeling en_US
dc.parent Artificial Intelligence In Theory And Practice en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation New York, USA en_US
dc.identifier.startpage 475 en_US
dc.identifier.endpage 482 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference.location Santiago, CHILE en_US
dc.for 080109 en_US
dc.personcode 020492 en_US
dc.personcode 000716 en_US
dc.personcode 723535 en_US
dc.percentage 100 en_US
dc.classification.name Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.custom World Computer Congress en_US
dc.date.activity 20060821 en_US
dc.location.activity Santiago, CHILE en_US
dc.description.keywords data mining en_US
dc.staffid 723535 en_US


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