Commenced in January 2007
Paper Count: 31231
A Multi-Agent Framework for Data Mining
Abstract:A generic and extendible Multi-Agent Data Mining (MADM) framework, MADMF (the Multi-Agent Data Mining Framework) is described. The central feature of the framework is that it avoids the use of agreed meta-language formats by supporting a framework of wrappers. The advantage offered is that the framework is easily extendible, so that further data agents and mining agents can simply be added to the framework. A demonstration MADMF framework is currently available. The paper includes details of the MADMF architecture and the wrapper principle incorporated into it. A full description and evaluation of the framework-s operation is provided by considering two MADM scenarios.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334774Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1726
 Albashiri, K., Coenen, F., Sanderson, R. and Leng. P., "Frequent Set Meta Mining: Towards Multi-Agent Data Mining". In Bramer, M., Coenen, F.P. and Petridis, M. (Eds.), Springer, London, pp139-151, (2007).
 Albashiri, K., Coenen, F., and Leng. P., "EMADS: An Extendible Multi- Agent Data Miner". In Bramer, M., Coenen, F.P. and Petridis, M. (Eds.), Springer, London, pp263-276, (2008).
 Baazaoui H., Faiz S., Hamed R., and Ghezala H., "A Framework for data mining based multi-agent: an application to spatial data". 3rd World Enformatika Conference, Istanbul, (2005).
 Bellifemine, F. Poggi, A. and Rimassi, G., "JADE: A FIPA-Compliant agent framework". Proceedings Practical Applications of Intelligent Agents and Multi-Agents, pg 97-108, (1999). (See http://sharon.cselt.it/projects/jade for latest information).
 Blake, C. and Merz, C. , "UCI Repository of machine learning databases". Irvine, CA: University of California, Department of Information and Computer Science. http://www.ics.uci.edu/mlearn/MLRepository.html, (1998).
 Bose, R. and Sugumaran, V., "IDM: An Intelligent Software Agent Based Data Mining Environment". In Proceedings of IEEE Press, San Diego, CA, (1998).
 Coenen, F., Leng, P., and Goulbourne, G., "Tree Structures for Mining Association Rules". Journal of DM and Knowledge Discovery, Vol 8, No 1, pp25-51, (2004).
 Foundation for Intelligent Physical Agents, FIPA 2002 Specification. Geneva, Switzerland. (See http://www.fipa.org/specifications/index.html), (2002).
 Giuseppe, D., Giancarlo, F., "A customizable multi-agent framework for distributed data mining". Proceedings ACM symposium on applied computing, (2007).
 Klusch, M., Lodi, G., "Agent-based Distributed Data Mining: The KDEC Scheme. Intelligent Information Agents" The AgentLink Perspective. Lecture Notes in Computer Science 2586, Springer, (2003).