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.
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References
Specification, W.M.C.: Workflow Management Coalition Terminology & Glossary (Document No. WFMC-TC-1011). Workflow Management Coalition Specification (1999)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: An update. SIGKDD Explorations 11(1), 10–18 (2009)
Mierswa, I., Wurst, M., Klinkenberg, R., Scholz, M., Euler, T.: Yale: rapid prototyping for complex data mining tasks. In: KDD ’06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 935–940. ACM, New York (2006)
Berthold, M.R., Cebron, N., Dill, F., Gabriel, T.R., Kötter, T., Meinl, T., Ohl, P., Sieb, C., Thiel, K., Wiswedel, B.: KNIME: The Konstanz Information Miner. In: Studies in Classification, Data Analysis, and Knowledge Organization (GfKL 2007). Springer, Heidelberg (2007)
Shepherdson, J.W., Thompson, S.G., Odgers, B.R.: Decentralised workflows and software agents. BT Technology Journal 17(4), 65–71 (1999)
Cai, T., Gloor, P.A., Nog, S.: Dartflow: A workflow management system on the web using transportable agents (1997)
Huang, C.J., Trappey, A.J., Yao, Y.H.: Developing an agent-based workflow management system for collaborative product design. Industrial Management and Data Systems 106(5), 680 (2006)
Judge, D.W., Odgers, B.R., Shepherdson, J.W., Cui, Z.: Agent-enhanced workflow. BT Technology Journal 16(3), 79–85 (1998)
Odgers, B.R., Shepherdson, J.W., Thompson, S.G.: Distributed workflow co-ordination by proactive software agents. In: Intelligent Workflow and Process Management. The New Frontier for AI in Business IJCAI-99 Workshop (1999)
Savarimuthu, B.T.R., Purvis, M., Fleurke, M.: Monitoring and controlling of a multi-agent based workflow system. In: ACSW Frontiers ’04: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, pp. 127–132. Australian Computer Society, Inc., Darlinghurst (2004)
Yoo, J.J., Suh, Y.H., Lee, D.I., Jung, S.W., Jang, C.S., Kim, J.B.: Casting mobile agents to workflow systems: On performance and scalability issues. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds.) DEXA 2001. LNCS, vol. 2113, pp. 254–263. Springer, Heidelberg (2001)
Yan, Y., Maamar, Z., Shen, W.: Integration of workflow and agent technology for business process management. In: The Sixth International Conference on CSCW in Design, pp. 420–426 (2001)
Savarimuthu, B.T.R., Purvis, M., Purvis, M., Cranefield, S.: Agent-based integration of web services with workflow management systems. In: AAMAS ’05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, pp. 1345–1346. ACM, New York (2005)
Moemeng, C., Gorodetsky, V., Zuo, Z., Yang, Y., Zhang, C.: Agent-based distributed data mining: A survey. In: Cao, L. (ed.) Data Mining and Multi-agent Integration, pp. 47–58. Springer, Boston (2009)
Fischer, L.: BPM & Workflow Handbook. Workflow Management Coalition (2007)
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Moemeng, C., Zhu, X., Cao, L. (2010). Integrating Workflow into Agent-Based Distributed Data Mining Systems. In: Cao, L., Bazzan, A.L.C., Gorodetsky, V., Mitkas, P.A., Weiss, G., Yu, P.S. (eds) Agents and Data Mining Interaction. ADMI 2010. Lecture Notes in Computer Science(), vol 5980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15420-1_2
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DOI: https://doi.org/10.1007/978-3-642-15420-1_2
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