Integrating workflow into agent-based distributed data mining systems

Authors:
Chayapol Moemeng;Xinhua Zhu;Longbing Cao
Affiliations:
Quantum Computing and Intelligent Systems, Faulty of Engineering and Information Technology, University of Technology, Sydney;Quantum Computing and Intelligent Systems, Faulty of Engineering and Information Technology, University of Technology, Sydney;Quantum Computing and Intelligent Systems, Faulty of Engineering and Information Technology, University of Technology, Sydney
Venue:
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Year:
2010

Citing 6
Cited 2

Agent-enhanced Workflow

BT Technology Journal
Decentralised Workflows and Software Agents

BT Technology Journal
Monitoring and controlling of a multi-agent based workflow system

ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
Agent-based integration of Web Services with Workflow Management Systems

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
YALE: rapid prototyping for complex data mining tasks

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
The WEKA data mining software: an update

ACM SIGKDD Explorations Newsletter

Obtaining an optimal MAS configuration for agent-enhanced mining using constraint optimization

ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
Multi-agent based classification using argumentation from experience

Autonomous Agents and Multi-Agent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Agent-based workflow has been proven its potential in overcoming issues in traditional workflow-based systems, such as decentralization, organizational issues, etc. The existing data mining tools provide workflow metaphor for data mining process visualization, audition and monitoring; these are particularly useful for distributed environments. In agent-based distributed data mining (ADDM), agents are an integral part of the system and can seamlessly incorporate with workflows. We describe a mechanism to use workflow in descriptive and executable styles to incorporate between workflow generators and executors. This paper shows that agent-based workflows can improve ADDM interoperability and flexibility, and also demonstrates the concepts and implementation with a supporting the argument, a multi-agent architecture and an agent-based workflow model are demonstrated.