Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Information agent technology for the Internet: a survey
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
Advances in Distributed and Parallel Knowledge Discovery
Advances in Distributed and Parallel Knowledge Discovery
An Architecture for Distributed Enterprise Data Mining
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
Intelligent Agents: The Key Concepts
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
The Role of Agents in Distributed Data Mining: Issues and Benefits
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Exploring the Capabilities of Mobile Agents in Distributed Data Mining
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
A Generic and Extendible Multi-Agent Data Mining Framework
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Agent Mining: The Synergy of Agents and Data Mining
IEEE Intelligent Systems
EMADS: An extendible multi-agent data miner
Knowledge-Based Systems
Agent-Enriched Data Mining Using an Extendable Framework
Agents and Data Mining Interaction
Agent based distributed data mining
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Parallel and distributed methods for incremental frequent itemset mining
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A multi-agent data mining system for cartel detection in Brazilian government procurement
Expert Systems with Applications: An International Journal
Effective data warehouse for information delivery: a literature survey and classification
International Journal of Networking and Virtual Organisations
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Distributed Data Mining (DDM) is concerned with application of the classical Data Mining (DM) approach in a Distributed Computing (DC) environments so that the available resource including communication networks, computing units and distributed data repositories, human factors etc. can be utilized in a better way and on-line, real-time decision support based distributed applications can be designed. A Mobile Agent (MA) is an autonomous transportable program that can migrate under its own or host control from one node to another in a heterogeneous network. This paper highlights the agent based approach for mining the association rules from the distributed data sources and proposed an another framework called Agent enriched Mining of Strong Association Rules (AeMSAR) from Distributed Data Sources. As agent technology paradigm of the DC has gained lots of research in the recent years, therefore, making an alliance of agent and Association Rules Mining(ARM) will help mining the Association rules in a Distributed environment in a better way.