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.

• Type: Conference
• Year: 2009
• Where: ADMI
• Authors: Kamal Ali Albashiri, Frans Coenen
• Keywords: ADMI 2009, Data Mining, Demonstration Emads Framework, Extendable Multi-Agent Data