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ADMI
2009
Springer

Agent-Enriched Data Mining Using an Extendable Framework

10 years 4 months ago
Agent-Enriched Data Mining Using an Extendable Framework
An extendable and generic Agent Enriched Data Mining (AEDM) framework, EMADS (the Extendable Multi-Agent Data mining System) is described. The central feature of the framework is that it avoids the use of ontologies or agreed meta-language formats by supporting a system of wrappers. The advantage offered is that the system is easily extendable, further data agents and mining agents can simply be added to the system. A demonstration EMADS framework is currently available. The paper includes details of the EMADS architecture and the wrapper principle incorporated into it. A full description of the framework’s operation is provided by considering two AEDM scenarios; the scenarios are also the focus for an evaluation of the framework.
Kamal Ali Albashiri, Frans Coenen
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where ADMI
Authors Kamal Ali Albashiri, Frans Coenen
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