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IFIP12
2008

Agent Based Frequent Set Meta Mining: Introducing EMADS

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Agent Based Frequent Set Meta Mining: Introducing EMADS
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of such agents and demonstrate (by experiment) their application to data mining on distributed data. Although, EMADS is not restricted to one data mining task, the study described here, for the sake of brevity, concentrates on agent based Association Rule Mining (ARM), in particular what we refer to as frequent set meta mining (or Meta ARM). A full description of our proposed Meta ARM model is presented where we describe the concept of Meta ARM and go on to describe and analyse a number of potential solutions in the context of EMADS. Experimental results are considered in terms of: the number of data sources, the number of records in the data sets and the number of attributes represented.
Kamal Ali Albashiri, Frans Coenen, Paul H. Leng
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where IFIP12
Authors Kamal Ali Albashiri, Frans Coenen, Paul H. Leng
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