i-Analyst: An agent-based distributed data mining platform

Moemeng, C; Zhu, X; Cao, L; Jiahang, C

i-Analyst: An agent-based distributed data mining platform

Moemeng, C Zhu, X Cao, L

Jiahang, C

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Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE International Conference on Data Mining, ICDM, 2010, pp. 1404 - 1406
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Moemeng, C	en_US
dc.contributor.author	Zhu, X	en_US
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429	en_US
dc.contributor.author	Jiahang, C	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	Proceedings - IEEE International Conference on Data Mining, ICDM, 2010, pp. 1404 - 1406	en_US
dc.identifier.isbn	9780769542577	en_US
dc.identifier.issn	1550-4786	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16105
dc.description.abstract	User-friendliness and performance are important properties of data mining and analysis tools. In this demo, we introduced an agent-based distributed data mining platform that allows users to manage and share the data-mining-related resources conveniently. Furthermore, the platform employs agents for workflow enactment in which the performance is improved with agent abilities. We also present an example to illustrate how the platform works in distributed environment. The performance is relatively competitive with non-agent approach when data is highly distributed and large. © 2010 IEEE.	en_US
dc.relation.ispartof	Proceedings - IEEE International Conference on Data Mining, ICDM	en_US
dc.relation.isbasedon	10.1109/ICDMW.2010.69	en_US
dc.title	i-Analyst: An agent-based distributed data mining platform	en_US
dc.type	Conference Proceeding
utslib.for	0804 Data Format	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Sydney, NSW	en_US
dc.location.activity	ISI:000263626700038
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/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

User-friendliness and performance are important properties of data mining and analysis tools. In this demo, we introduced an agent-based distributed data mining platform that allows users to manage and share the data-mining-related resources conveniently. Furthermore, the platform employs agents for workflow enactment in which the performance is improved with agent abilities. We also present an example to illustrate how the platform works in distributed environment. The performance is relatively competitive with non-agent approach when data is highly distributed and large. © 2010 IEEE.

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http://hdl.handle.net/10453/16105