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Distributed computing environment: Approaches and applications

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5 Author(s)
Li Zeng ; Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, and Graduate University of Chinese Academy of Sciences, China ; Lida Xu ; Zhongzhi Shi ; Maoguang Wang
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In information systems in particular business Intelligence systems, for data produced at physically distributed locations most traditional data mining approaches require data to be transmitted to a single location for centralized processing and mining. However, the continual transmission of a large number of data to a central location must be impractical and expensive. Thus, distributed and parallel data mining algorithms and applications were rapidly developed. The paper surveys the-state-of-the art in approaches and applications of distributed computing environment. The goal is to summarize a brief introduction to this field with pointers for further exploration.

Published in:

2007 IEEE International Conference on Systems, Man and Cybernetics

Date of Conference:

7-10 Oct. 2007