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International Conference on Computational Intelligence and Natural Computing

作者： Wang, Huimin Nie, Guihua Fu, Kui Wuhan Univ Technol Sch Econ Wuhan 430070 Peoples R China

ISBN: (纸本)9780769536453

Nowadays, the process of data mining is one of the most important topics in scientific and business problems. Grid Computing can be used as infrastructures to provide an effective computational support for distributed data mining applications. The paper proposed a data mining architecture from large-scale distributed and semantically heterogeneous data resources in order to efficiently support knowledge acquisition. Grid technology and semantic web technology were combined to solve the difficult problem of distributed data mining. data mining in the Grid environment can provide highly efficient and powerful data analysis and knowledge discovery solution and semantic web can effectively solve the heterogeneity of data sources and make them available for data mining.

关键词： distributed data ming semantic web grid computing ontology knowledge discovery

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distributed data mining based on semantic web and grid

Distributed data mining based on semantic web and grid

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2009 International Conference on Computational Intelligence and Natural Computing(CINC 2009)

作者： Huimin Wang School of Economics Wuhan University of Technology Wuhan,China Guihua Nie School of Economics Wuhan University of Technology Wuhan,China Kui Fu School of Economics Wuhan University of Technology Wuhan,China

Nowadays,the process of data mining is one of the most important topics in scientific and business problems. Grid Computing can be used as infrastructures to provide an effective computational support for distributed data mining applications. The paper proposed a data mining architecture from large-scale distributed and semantically heterogeneous data resources in order to efficiently support knowledge acquisition. Grid technology and semantic web technology were combined to solve the difficult problem of distributed data mining. data mining in the Grid environment can provide highly efficient and powerful data analysis and knowledge discovery solution and semantic web can effectively solve the heterogeneity of data sources and make them available for data mining.

关键词： distributed data ming semantic web grid computing ontology knowledge discovery

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A data Mining Algorithm Based on distributed Decision-Tree in Grid Computing Environments

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南昌工程学院学报 2006年第2期25卷 126-128页

作者： Zhongda Lin Yanfeng Hong Kun Deng Information Engineering School Nanchang University Nanchang 330029 China

Recently, researches on distributed data mining by making use of grid are in trend. This paper introduces a data mining algorithm by means of distributed decision-tree,which has taken the advantage of conveniences and services supplied by the computing platform-grid,and can perform a data mining of distributed classification on grid.

关键词： grid decision-tree distributed data ming system architecture

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A data Mining Algorithm Based on distributed Decision-Tree in Grid Computing Environments

A Data Mining Algorithm Based on Distributed Decision-Tree i...

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Rough集前景——粒计算理论国际论坛（2006）

作者： Zhongda Lin, Yanfeng Hong, Kun Deng (Information Engineering School, Nanchang University, Nanchang 330029, China)

Recently, researches on distributed data raining by making use of grid are in trend. This paper introduces a data mining algorithm by means of distributed decision-tree, which has taken the advantage of conveniences and services supplied by the computing platform-grid, and can perform a data mining of distributed classification on grid.

关键词： grid decision-tree distributed data ming system architecture

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