i-Analyst: An Agent-Based Distributed Data Mining Platform
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| dc.contributor.author | Moemeng Chayapol | en_US |
| dc.contributor.author | Zhu Xinhua | en_US |
| dc.contributor.author | Cao Longbing | en_US |
| dc.contributor.author | Chen Jiahang | en_US |
| dc.contributor.editor | Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, and Xindong Wu | en_US |
| dc.date.accessioned | 2012-02-02T11:06:43Z | |
| dc.date.available | 2012-02-02T11:06:43Z | |
| dc.date.issued | 2010 | en_US |
| dc.identifier | 2010001670 | en_US |
| dc.identifier.citation | Moemeng Chayapol et al. 2010, 'i-Analyst: An Agent-Based Distributed Data Mining Platform', , IEEE, Sydney, NSW, Australia, , pp. 1404-1406. | en_US |
| dc.identifier.issn | 978-0-7695-4257-7 | en_US |
| dc.identifier.other | E1 | 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. | en_US |
| dc.language | English | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.isbasedon | http://dx.doi.org/10.1109/ICDMW.2010.69 | en_US |
| dc.title | i-Analyst: An Agent-Based Distributed Data Mining Platform | en_US |
| dc.parent | Data Mining Workshops (ICDMW), 2010 IEEE International Conference on | en_US |
| dc.journal.volume | en_US | |
| dc.journal.number | en_US | |
| dc.publocation | Sydney, NSW, Australia | en_US |
| dc.identifier.startpage | 1404 | en_US |
| dc.identifier.endpage | 1406 | en_US |
| dc.cauo.name | FEIT.Faculty of Engineering & Information Technology | en_US |
| dc.conference | Verified OK | en_US |
| dc.for | 080109 | en_US |
| dc.personcode | 10609598;106564;034535;0000066491 | en_US |
| dc.percentage | 000050 | en_US |
| dc.classification.name | Pattern Recognition and Data Mining | en_US |
| dc.classification.type | FOR-08 | en_US |
| dc.edition | en_US | |
| dc.custom | 2010 IEEE International Conference on Data Mining Workshops (ICDMW) | en_US |
| dc.date.activity | 20101214 | en_US |
| dc.location.activity | Sydney, NSW | en_US |
| dc.description.keywords | data mining, software package, multi-agent system | en_US |
| dc.staffid | en_US |
