Prototype a knowledge discovery infrastructure by implementing Relational Grid Monitoring Architecture (R-GMA) on European Data Grid (EDG)

被引:0
作者
Wang, F [1 ]
Helian, N
Guo, Y
Thompson, S
Gordon, J
机构
[1] London Metropolitan Univ, Dept Comp, London N7 8DB, England
[2] Univ London Imperial Coll Sci Technol & Med, Dept Comp, London SW7 2BZ, England
[3] Rutherford Appleton Lab, CCLRC, Didcot OX11 0QX, Oxon, England
来源
GRID AND COOPERATIVE COMPUTING, PT 2 | 2004年 / 3033卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes the implementation of a ScanOnce algorithm in SQL for quick association rule mining and the development of a data mining infrastructure JetGrid. The architecture of JetGrid is designed to be compatible with lower-level grid mechanisms since it is to operate on top of Relational Grid Monitoring Architecture (R-GMA) provided by European Data Grid (EDG). JetGrid for quick knowledge discovery was preliminarily prototyped and it is extensible, using an object-oriented design that was coded in C++. Mining agents will be staged to one or more computing elements on the EDG. They will mine data delivered using GridFTP and/or Globus transport mechanism. Some initial experimental results are presented, which provide some indication of the performance of the JetGrid data mining infrastructure on top of EDG.
引用
收藏
页码:811 / 814
页数:4
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