A CSCW data mining model for spatial knowledge production

Liang Yu; Yangge Tian; Fuling Bian

doi:10.1117/12.775509

10 November 2007 A CSCW data mining model for spatial knowledge production

Liang Yu, Yangge Tian, Fuling Bian

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67957C (2007) https://doi.org/10.1117/12.775509
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

This paper proposes a cooperative knowledge production model CSDM (Cooperative Spatial Data Mining), which is suitable for distributed GIS environment. It aims at two shortages of existing system, the large computational work, and the dispersive resources in a distributed system. It's based on data-sharing, process synchronization and parallel datamining method. Although there are many parallel algorithms for data-mining, we choose the GA (Genetic Algorithm) for illustration. The prototype system shows the model could work effectively in a path selection problem.

Citation Download Citation

Liang Yu, Yangge Tian, and Fuling Bian "A CSCW data mining model for spatial knowledge production", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67957C (10 November 2007); https://doi.org/10.1117/12.775509

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