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Data Mining Grid digital library : Paper ljudoc002:
WEKA4WS: A WSRF-ENABLED WEKA TOOLKIT FOR DISTRIBUTED DATA MINING ON GRIDS


id LJUdoc002
authors Domenico Talia, Paolo Trunfio, Oreste Verta
year 2005
title WEKA4WS: A WSRF-ENABLED WEKA TOOLKIT FOR DISTRIBUTED DATA MINING ON GRIDS
summary This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emergingWeb Services Resource Framework (WSRF) for accessing remote data mining algorithms and managing distributed computations. The Weka4WS user interface is a modified Weka Explorer environment that supports the execution of both local and remote data mining tasks. On every computing node, aWSRF-compliant Web Service is used to expose all the data mining algorithms provided by theWeka library. The paper describes the design and the implementation of Weka4WS using a first release of the WSRF library. To evaluate the efficiency of the proposed system, a performance analysis of Weka4WS for executing distributed data mining tasks in different network scenarios is presented.
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content file.pdf (197,195 bytes)
last changed 2005/08/24 14:32
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Updated on January 20, 2005