Papyrus: a system for data mining over local and wide area clusters and super-clusters
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Distributed data clustering can be efficient and exact
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Desiderata for agent argumentation protocols
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Advances in Distributed and Parallel Knowledge Discovery
Advances in Distributed and Parallel Knowledge Discovery
Introduction: Recent Developments in Parallel and Distributed Data Mining
Distributed and Parallel Databases - Special issue: Parallel and distributed data mining
The Role of Agents in Distributed Data Mining: Issues and Benefits
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
T-Trees, Vertical Partitioning and Distributed Association Rule Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Efficient agent-based cluster ensembles
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Clustering
Guest Editors' Introduction: Agents and Data Mining
IEEE Intelligent Systems
Agent Mining: The Synergy of Agents and Data Mining
IEEE Intelligent Systems
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Distributed data mining and agents
Engineering Applications of Artificial Intelligence
Agent-based distributed data mining: the KDEC scheme
Intelligent information agents
Clustering in a multi-agent data mining environment
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Multi-agent based clustering: towards generic multi-agent data mining
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Best clustering configuration metrics: towards multiagent based clustering
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
A multi-agent data mining system for cartel detection in Brazilian government procurement
Expert Systems with Applications: An International Journal
The role of intelligent agents and data mining in electronic partnership management
Expert Systems with Applications: An International Journal
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A framework for multi-agent based clustering is described whereby individual agents represent individual clusters. A particular feature of the framework is that, after an initial cluster configuration has been generated, the agents are able to negotiate with a view to improving on this initial clustering. The framework can be used in the context of a number of clustering paradigms, two are investigated: K-means and KNN. The reported evaluation demonstrates that negotiation can serve to improve on an initial cluster configuration.