计算机工程与应用2012，Vol.48Issue(6)：134-138,5.DOI:10.3778/j.issn.1002-8331.2012.06.040
Internet环境下并行群组数据挖掘模型
Parallel group data mining model in Internet environment
摘要
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.关键词
数据挖掘/分治策略/Agent/分布式数据挖掘Key words
data mining/divide-and-conquer strategy/Agent/distributed data mining分类
信息技术与安全科学引用本文复制引用
马冰川,赵书良,王伟..Internet环境下并行群组数据挖掘模型[J].计算机工程与应用,2012,48(6):134-138,5.基金项目
河北省教育厅自然科学项目(No.2008472,2010259) （No.2008472,2010259）
河北省科学技术研究与发展计划项目(No.072435158D,09213515D,09213575D,09457244D) （No.072435158D,09213515D,09213575D,09457244D）
河北师范大学博士基金资助项目(No.L2006B03) （No.L2006B03）
河北师范大学重点基金资助项目(No.L2007Z01) （No.L2007Z01）
河北师范大学硕士基金资助项目(No.200902003). （No.200902003）
