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
Advances in Distributed and Parallel Knowledge Discovery
Advances in Distributed and Parallel Knowledge Discovery
Introduction to Multiagent Systems
Introduction to Multiagent Systems
ECML '93 Proceedings of the European Conference on Machine Learning
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A Comparison Between Single-agent and Multi-agent Classification of Documents
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
P2P '01 Proceedings of the First International Conference on Peer-to-Peer Computing
Multi-agent Technology for Distributed Data Mining and Classification
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Threshold tuning for improved classification association rule mining
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
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
An agent-based framework for distributed learning
Engineering Applications of Artificial Intelligence
Distributed data mining for e-business
Information Technology and Management
Distributed learning with data reduction
Transactions on computational collective intelligence IV
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Agent enriched distributed association rules mining: a review
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
PISA: A framework for multiagent classification using argumentation
Data & Knowledge Engineering
A multi-agent data mining system for cartel detection in Brazilian government procurement
Expert Systems with Applications: An International Journal
A framework for Multi-Agent Based Clustering
Autonomous Agents and Multi-Agent Systems
Multi-agent based classification using argumentation from experience
Autonomous Agents and Multi-Agent Systems
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In this paper, we describe EMADS, an extendible multi-agent data mining system. The EMADS vision is that of a community of data mining agents, contributed by many individuals, interacting under decentralised control to address data mining requests. EMADS is seen both as an end user application and a research tool. This paper details the EMADS vision, the associated conceptual framework and the current implementation. Although EMADS may be applied to many data mining tasks; the study described here, for the sake of brevity, concentrates on agent based data classification. A full description of EMADS is presented.