一种用于改善分布式数据挖掘中响应时间的混合模型。
A hybrid model for improving response time in distributed data mining.
作者信息
Krishnaswamy Shonali, Loke Seng W, Zaslasvky Arkady
机构信息
School of Computer Science and Software Engineering, Monash University, Melbourne 3145, Australia.
出版信息
IEEE Trans Syst Man Cybern B Cybern. 2004 Dec;34(6):2466-79. doi: 10.1109/tsmcb.2004.836885.
This paper presents a hybrid distributed data mining (DDM) model for optimization of response time. The model combines a mobile agent approach with client server strategies to reduce the overall response time. The hybrid model proposes and develops accurate a priori estimates of the computation and communication components of response time as the costing strategy to support optimization. Experimental evaluation of the hybrid model is presented.
本文提出了一种用于优化响应时间的混合分布式数据挖掘（DDM）模型。该模型将移动代理方法与客户机/服务器策略相结合，以减少总体响应时间。混合模型提出并开发了响应时间的计算和通信组件的精确先验估计，作为支持优化的成本计算策略。文中给出了混合模型的实验评估。
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