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 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.