Abstract
In this chapter 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 and interacting under decentralized control, to address data mining requests. EMADS is seen both as an end user platform and a research tool. This chapter 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 Association Rule Mining and agent based classification. A full description of EMADS is presented.
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Albashiri, K.A., Coenen, F. (2009). The EMADS Extendible Multi-Agent Data Mining Framework. In: Cao, L. (eds) Data Mining and Multi-agent Integration. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0522-2_13
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DOI: https://doi.org/10.1007/978-1-4419-0522-2_13
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