关键词: 数据挖掘, 分治策略, Agent, 分布式数据挖掘

Abstract: Along with the development of Internet, distributed data mining is receiving more and more attention. Distributed data mining needs a kind of loose coupling and parallel data mining framework, which can congregate multiple network functions as communication media. Based on the analysis of the classic parallel data mining models PADMA and BODHI, this paper proposes a new parallel distributed data mining model—PADMAN. Divide-and-conquer strategy being used in the model, in which data mining tasks are partitioned and distributed to data mining groups, and different groups process data mining tasks in parallel. Owing to based on agent of this model, all basic data mining units are autonomous. Even more, both group clients and global clients can be connected by wireless network which increases the flexibility for users using or accessing the system. The application of divide-and-conquer strategy equips the model with much better modularization and scalability.

Key words: data mining, divide-and-conquer strategy, Agent, distributed data mining