Agent-Based Distributed Data Mining: A Survey

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Show simple item record Moemeng, Chayapol en_US Gorodetsky, Vladimir en_US Zuo, Ziye en_US Yang, Yong en_US Zhang, Chengqi en_US
dc.contributor.editor Longbing Cao en_US 2010-06-16T04:55:28Z 2010-06-16T04:55:28Z 2009 en_US
dc.identifier 2009001695 en_US
dc.identifier.citation Moemeng Chayapol et al. 2009, 'Agent-Based Distributed Data Mining: A Survey', in (ed.), Springer, New York, USA, pp. 1-12. en_US
dc.identifier.issn 978-1-4419-0521-5 en_US
dc.identifier.other B1 en_US
dc.description.abstract Distributed data mining is originated from the need of mining over decentralised data sources. Data mining techniques involving in such complex environment must encounter great dynamics due to changes in the system can affect the overall performance of the system. Agent computing whose aim is to deal with complex systems has revealed opportunities to improve distributed data mining systems in a number of ways. This paper surveys the integration of multi-agent system and distributed data mining, also known as agent-based distributed data mining, in terms of significance, system overview, existing systems, and research trends. en_US
dc.language en_US
dc.publisher Springer en_US
dc.relation.isbasedon en_US
dc.title Agent-Based Distributed Data Mining: A Survey en_US
dc.parent Data Mining and Multi-agent Integration en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation New York, USA en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 12 en_US FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080109 en_US
dc.personcode 10609598 en_US
dc.personcode 0000036150 en_US
dc.personcode 10783532 en_US
dc.personcode 10899995 en_US
dc.personcode 011221 en_US
dc.percentage 100 en_US Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords NA en_US
dc.staffid en_US
dc.staffid 011221 en_US

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