期刊名称:International Journal of Computer Networks & Communications
印刷版ISSN:0975-2293
电子版ISSN:0974-9322
出版年度:2010
卷号:2
期号:5
出版社:Academy & Industry Research Collaboration Center (AIRCC)
摘要:The Weka4GML framework has been designed to meet the requirements of distributed data mining. In this paper, we present the Weka4GML architecture 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 behaviour 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. The framework has been discussed and compared to related works.