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- W2360843410 abstract "Weka4WS adopts the WSRF technology for running remote data mining algorithms and managing distributed computations,a WSRF-compliant Web service is used to expose all the data mining algorithms provided by the Weka Library.This paper described Weka4WS,a framework that extended the widely used open source Weka toolkit to support distributed data mining on WSRF-enabled grids and had a try at solving the problem of distributed clustering,in addition,introduced the concepts of distance-cost and admixture probability,and achieved the distributed clustering algorithm by dint of Weka Library,designed 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 validated the validity of the algorithm and the feasibility of the architecture with the distributed clustering based on Weka4WS." @default.
- W2360843410 created "2016-06-24" @default.
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- W2360843410 date "2010-01-01" @default.
- W2360843410 modified "2023-09-24" @default.
- W2360843410 title "Research on distributed clustering algorithm Weka4WS-based in grid environment" @default.
- W2360843410 hasPublicationYear "2010" @default.
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