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. © 2009 Springer-Verlag US.
CITATION STYLE
Albashiri, K. A., & Coenen, F. (2009). The EMADS extendible multi-agent data mining framework. In Data Mining and Multi-Agent Integration (pp. 189–200). Springer US. https://doi.org/10.1007/978-1-4419-0522-2_13
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