Abstract
Weka4WS adopts the WSRF technology for implementing remote data mining algorithms and dealing with distributed computation, a WSRF-compliant Web service is used to carry out all the data mining algorithms provided by the Weka library. This paper describes Weka4WS, a framework that extends the widely used open source Weka toolkit to support distributed data mining on WSRF-enabled Grids and have a try at solving the problem of distributed clustering, in addition, introduces the concepts of Admixture Probability, and achieves the distributed clustering algorithm with Weka Library, designs a distributed data mining architecture oriented-services in grid environment combining grid with web services, the implementation of Weka4WS using the WSRF libraries and services provided by Globus Toolkit 4. Finally it validates the validity of the algorithm and the feasibility of the architecture with the distributed clustering based on WEKA4WS.
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