A human-friendly MAS for mining stock data

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dc.contributor.author Ni, Jiarui en_US
dc.contributor.author Zhang, Chengqi en_US
dc.contributor.editor Butz, C; Nguyen, T; Takama, Y; Cheung, W; Cheung, Y en_US
dc.date.accessioned 2009-11-09T05:36:25Z
dc.date.available 2009-11-09T05:36:25Z
dc.date.issued 2006 en_US
dc.identifier 2006005162 en_US
dc.identifier.citation Ni Jiarui and Zhang Chengqi 2006, 'A human-friendly MAS for mining stock data', IEEE Computer Society press, Hong Kong, pp. 19-22. en_US
dc.identifier.issn 0-7695-2749-3/06 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2763
dc.description.abstract Mining stock data can be beneficial to the participants and researchers in the stock market. However, it is very difficult for a normal trader or researcher to apply data mining techniques to the data on his own due to the complexity involved in the whole data mining process. In this paper, we present a multi-agent system that can help users easily deal with their data mining jobs on stock data. This system guides users to specify their mining tasks by simply specifying the data sets to be mined and selecting pre-defined and/or user-added data mining agents. This approach offers normal traders a practical and flexible solution to mining stock data. en_US
dc.publisher IEEE Computer Society press en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/WI-IATW.2006.12 en_US
dc.subject Data mining. en
dc.subject Multi-agent system. en
dc.subject Stock markets. en
dc.subject Traders, Floor (Finance) en
dc.title A human-friendly MAS for mining stock data en_US
dc.parent Proceedings of 2006 IEEE/ACM/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops) en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Hong Kong en_US
dc.identifier.startpage 19 en_US
dc.identifier.endpage 22 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference.location Hong Kong, China en_US
dc.for 080100 en_US
dc.personcode 999327 en_US
dc.personcode 011221 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology en_US
dc.date.activity 20061218 en_US
dc.location.activity Hong Kong, China en_US
dc.description.keywords NA en_US
dc.staffid 011221 en_US


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