Mining Domain-Driven Correlations in Stock Markets

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dc.contributor.author Lin, L
dc.contributor.author Luo, D
dc.contributor.author Liu, L
dc.contributor.editor Zhang, S
dc.contributor.editor Jarvis, R
dc.date.accessioned 2009-11-09T02:45:24Z
dc.date.issued 2005-01
dc.identifier.citation AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence Proceedings, 2005, pp. 979 - 982
dc.identifier.isbn 3-540-30462-2
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1797
dc.description.abstract There have been many technical trading rules in stock market since the first stock exchange founded. Along with the developing of computer technology, the technical trading rules are playing more and more important roles in the stock market trading system. However, there are many problems also occurred, such as the huge database, inefficiency, etc. So, the in-depth data mining technology is becoming a powerful tool to overcome the shortage of the current technologies. In this paper, we give some applications of in-depth data mining method: to find the optimal range, to find the stock-rule pair and find the relationship between the number of pair and investment. This method can improve both efficiency and effectiveness.
dc.publisher Springer
dc.relation.isbasedon 10.1007/11589990_124
dc.title Mining Domain-Driven Correlations in Stock Markets
dc.type Conference Proceeding
dc.parent AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence Proceedings
dc.journal.number en_US
dc.publocation Sydney, Australia en_US
dc.identifier.startpage 979 en_US
dc.identifier.endpage 982 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference Australasian Joint Conference on Artificial Intelligence
dc.conference.location Sydney, Australia en_US
dc.for 080110 Simulation and Modelling
dc.personcode 021010
dc.personcode 996795
dc.percentage 100 en_US
dc.classification.name Simulation and Modelling en_US
dc.classification.type FOR-08 en_US
dc.custom Australasian Joint Conference on Artificial Intelligence en_US
dc.date.activity 20051205 en_US
dc.date.activity 2005-12-05
dc.location.activity Sydney, Australia en_US
dc.description.keywords Domain Driven, Optimization en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history General Collection (ID: 346) [2015-05-15T14:12:05+10:00]
utslib.collection.history Closed (ID: 3)


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