Introduction to Agent Mining Interaction and Integration

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Data Mining and Multi-agent Integration, 2009, 1, pp. 3 - 36
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In recent years, more and morc researchers have been involved in research on both agent technology and data mining. A clear disciplinary effort has been activa ted toward removing the boundary between them, that is the interaction and integrati on be tween agent technology and data mining. We refer this to agent mining as a new area. The marriage of agents and data mining is driven by challenges faced by both communities, and the need of developing more advanced intelligence, in formation processi ng and systems. This chapter presents an overall picture of agent mining from the perspective of positioning it as an emerging area. We summarize the main driving forces, compleme ntary essence, di sci plinary framework , applications, case studies, and trends and directions, as well as brief observation on agent-driven data mining, data mining-driven agents, and mutual issues in agent mini ng. Arguably, we draw the following conclusions: (I) agent mining emerges as a new area in the scientific fam il y, (2) both agent technology and data mining can greatly benefit from agent mining, (3) it is very promising to resu lL in additional advancement in intelligent information processing and systems. However, as a new open area, there are many issues waiting for research and development from theoretical, technological and practical perspectives.
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