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Agent mining is a research field that combines two areas of computer science: multiagent systems and data mining. It explores how intelligent computer agents can work together to discover, analyze, and learn from large amounts of data more effectively than traditional methods. [1] [2]
The interaction and the integration between multiagent systems and data mining have a long history. [3] [4] The very early work on agent mining focused on agent-based knowledge discovery, [5] agent-based distributed data mining, [6] [7] and agent-based distributed machine learning, [8] and using data mining to enhance agent intelligence. [9]
The International Workshop on Agents and Data Mining Interaction [10] has been held for more than 10 times, co-located with the International Conference on Autonomous Agents and Multi-Agent Systems. Several proceedings are available from Springer Lecture Notes in Computer Science.