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
Desiderata for agent argumentation protocols
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Why so many clustering algorithms: a position paper
ACM SIGKDD Explorations Newsletter
On Clustering Validation Techniques
Journal of Intelligent Information Systems
A Data-Clustering Algorithm on Distributed Memory Multiprocessors
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
The Role of Agents in Distributed Data Mining: Issues and Benefits
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Knowledge-Based Clustering: From Data to Information Granules
Knowledge-Based Clustering: From Data to Information Granules
Scalable density-based distributed clustering
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Efficient agent-based cluster ensembles
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Clustering
Parallel Clustering Algorithm for Large Data Sets with Applications in Bioinformatics
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Agent Mining: The Synergy of Agents and Data Mining
IEEE Intelligent Systems
EMADS: An extendible multi-agent data miner
Knowledge-Based Systems
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
Distributed data mining and agents
Engineering Applications of Artificial Intelligence
Agent-mining interaction: an emerging area
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
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
Multiagent based large data clustering scheme for data mining applications
AMT'10 Proceedings of the 6th international conference on Active media technology
Best clustering configuration metrics: towards multiagent based clustering
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Learning collaborative team behavior from observation
Expert Systems with Applications: An International Journal
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A framework to support Multi-Agent Based Clustering (MABC) is described. A unique feature of the framework is that it provides mechanisms to allow agents to negotiate so as to improve an initial cluster configuration. The framework encourages a two phase approach to clustering. During the first phase clustering agents bid for records in the input data and form an initial cluster configuration. In the second phase (the negotiation phase) agents pass individual records to each other so as to improve the initial configuration. The communication framework and its operation is fully described in terms of the performatives used and from an algorithmic perspective. The reported evaluation was conducted using benchmark data sets. The results demonstrate that the supported agent negotiation produces enhanced clustering results.