A Review on Multi-Agent Data Mining Systems

Abstract — Data mining and intelligent agents have emerged as two fields with immense potential for research. Every intelligent agent is self-sufficient, acting independently within its boundary while collaborating with other agents to perform the assigned task efficiently. The ability of agents to learn from their experience complements the data mining process. Agent mining helps to overcome the challenges faced by data mining in a distributed heterogeneous environment. Recently, a lot of research has been conducted on the role of agents in the data mining. The paper focuses on the existing multi-agent data mining system architectures and the roles of agents in them