2009 AgentMiningTheSynergyofAgentsan

• (Cao et al., 2009) ⇒ Longbing Cao, Vladimir Gorodetsky, and Pericles A. Mitkas. (2009). “Agent Mining: The Synergy of Agents and Data Mining.” In: IEEE Intelligent Systems Journal, 24(3). doi:10.1109/MIS.2009.45

Subject Headings: Agent Mining System, Multi-Agent System, Agent-driven Data Mining, Data Mining-driven Agents.

Cited By

• Google Scholar: 143 Citations
• ACM DL: 41 Citations
• Semantic Scholar: 56 Citations
• IEEE: 98 Citations

Quotes

Abstract

Autonomous agents and multiagent systems (or agents) and data mining and knowledge discovery (or data mining) are two of the most active areas in information technology. Ongoing research has revealed a number of intrinsic challenges and problems facing each area, which can't be addressed solely within the confines of the respective discipline. A profound insight of bringing these two communities together has unveiled a tremendous potential for new opportunities and wider applications through the synergy of agents and data mining. With increasing interest in this synergy, agent mining is emerging as a new research field studying the interaction and integration of agents and data mining. In this paper, we give an overall perspective of the driving forces, theoretical underpinnings, main research issues, and application domains of this field, while addressing the state-of-the-art of agent mining research and development. Our review is divided into three key research topics: agent-driven data mining, data mining-driven agents, and joint issues in the synergy of agents and data mining. This new and promising field exhibits a great potential for groundbreaking work from foundational, technological and practical perspectives.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2009 AgentMiningTheSynergyofAgentsan	Longbing Cao Vladimir Gorodetsky Pericles A. Mitkas			Agent Mining: The Synergy of Agents and Data Mining				10.1109/MIS.2009.45		2009