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Titlebook: Data Mining and Multi-agent Integration; Longbing Cao Book 2009 Springer-Verlag US 2009 AAMAS.Clustering.agent-enriched data mining.algori

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發(fā)表于 2025-3-23 10:12:01 | 只看該作者
https://doi.org/10.1007/978-1-4419-0522-2AAMAS; Clustering; agent-enriched data mining; algorithm; algorithms; automated reasoning; classification;
12#
發(fā)表于 2025-3-23 16:47:18 | 只看該作者
13#
發(fā)表于 2025-3-23 19:57:11 | 只看該作者
Spanning Trees and Arborescences,en activated toward removing the boundary between them, that is the interaction and integration between agent technology and data mining. We refer this to . as a new area. The marriage of agents and data mining is driven by challenges faced by both communities, and the need of developing more advanc
14#
發(fā)表于 2025-3-23 23:36:51 | 只看該作者
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發(fā)表于 2025-3-24 02:51:45 | 只看該作者
Kristóf Bérczi,Tamás Király,Simon Omlornment 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 o
16#
發(fā)表于 2025-3-24 10:35:35 | 只看該作者
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發(fā)表于 2025-3-24 10:40:19 | 只看該作者
18#
發(fā)表于 2025-3-24 18:55:22 | 只看該作者
Spanning Trees and Arborescences,ed KnowCat. The proposed MAS employs Web Use Mining and Web Structure Mining techniques in order to detect the most relevant interactions of the Know- Cat users and therefore should have more weight in the Knowledge Crystallization mechanism of KnowCat. More concretely, the MAS extracts the users in
19#
發(fā)表于 2025-3-24 19:33:34 | 只看該作者
20#
發(fā)表于 2025-3-25 01:02:56 | 只看該作者
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