A hybrid model for improving response time in distributed data mining

被引：8

作者：

Krishnaswamy, S ^{[1
]}

Loke, SW ^{[1
]}

Zaslasvky, A ^{[1
]}

机构：

[1] Monash Univ, Sch Comp Sci & Software Engn, Melbourne, Vic 3145, Australia

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2004年 / 34卷 / 06期

关键词：

distributed data mining (DDM); optimization; response time;

D O I：

10.1109/TSMCB.2004.836885

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2466 / 2479

页数：14

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