The Research and Implementation of Grid Based Data Mining Architecture

Authors:
Jingwen Gong;Yu Wang;Haigang Song;Xueguang Chen;Qihua Zhang
Affiliations:
Institute of System Engineering, Huazhong University of Science and Technology, Wuhan, China 430074 and Hubei Digital Manufacturing Key Laboratory, Wuhan University of Technology, Wuhan, China 430 ...;Institute of System Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Basic Research Service of the Ministry of Science and Technology of the P. R. China, Beijing, China 100862;Institute of System Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Semiconductor Manufacturing International Corporation, Shanghai, P. R. China 201203
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Year:
2009

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Abstract

Nowadays E-Business and E-Science are generating plenty of datasets. These datasets are heterogeneous and geographically distributed. There are major challenges involved in the efficient extracting useful knowledge from the datasets. This paper proposes a Grid based data mining architecture for Grid based Urban Public Transport Decision Support System (GUPTDSS). It discusses three main topics: process of parallel algorithm; deployment, invoking and scheduling of Grid based data mining service; data sources distribution scenarios and data access. To evaluate the efficiency of the proposed system, an example of traffic flow classification is presented.