Share Email Print
cover

Proceedings Paper

A CSCW data mining model for spatial knowledge production
Author(s): Liang Yu; Yangge Tian; Fuling Bian
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 10 November 2007
PDF: 7 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67957C (10 November 2007); doi: 10.1117/12.775509
Show Author Affiliations
Liang Yu, Wuhan Univ. (China)
Yangge Tian, Wuhan Univ. (China)
Fuling Bian, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology

© SPIE. Terms of Use
Back to Top