WSRF Services for Learning Classifiers from Data Grid

被引：0

作者：

Hmida, Moez Ben Haj ^{[1
]}

Slimani, Yahya ^{[1
]}

机构：

[1] Fac Sci Tunisia, Dept Comp Sci, Tunis, Tunisia

来源：

2009 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1 AND 2 | 2009年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present the Weka4GML architecture, a new framework based on WSRF technology for developing meta-learning methods to deal with datasets distributed among Data Grid. This framework extends the Weka toolkit to support distributed execution of data mining methods, like meta-learning. The architecture and the behavior of the proposed framework are described in this paper. We also detail the different steps needed to execute a meta-learning process on a Globus environment.

引用

页码：27 / 32

页数：6

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