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distributed reduction algorithm on grid service

The Journal of China Universities of Posts and Telecommunications 2010年第2期17卷 122-126页

作者： DENG Song WANG Ru-chuan FU Xiong College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China

Pretreatment of mass and high dimensional data for users plays an important role for data mining in grid environment. To solve optimal reduction effectively, a distributed reduction algorithm on grid service is present. It combines grid services with a novel reduction algorithm on gene expression programming （GEP）（RA-GEP）. Simulation experiments show that for mass or high dimensional data sets, the proposed algorithm has advantages in terms of speed and quality in contrast with traditional attribution reduction algorithms on intelligence computing.

关键词： gene expression programming distributed reduction grid service intelligence computing

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Theoretical framework for distributed reduction in concept lattice

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Journal of Southeast University(English Edition) 2008年第1期24卷 20-24页

作者：杨彬徐宝文李亚军东南大学计算机科学与工程学院南京210096

In order to reduce knowledge reasoning space and improve knowledge processing efficiency, a framework of distributed attribute reduction in concept lattices is presented. By employing the idea similar to that of the rough set, the characterization of core attributes, dispensable attributes and unnecessary attributes are described from the point of view of local formal contexts and virtual global contexts. A determinant theorem of attribute reduction is derived. Based on these results, an approach for distributed attribute reduction is presented. It first performs reduction independently on each local context using the existing approaches, and then local reducts are merged to compute reducts of global contexts. An algorithm implementation is provided and its effectiveness is validated. The distributed reduction algorithm facilitates not only improving computation efficiency but also avoiding the problems caused by the existing approaches, such as data privacy and communication overhead.

关键词： distributed reduction knowledge processing formal context

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