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Proceedings Paper

A perspective of spatial data mining
Author(s): Shuliang Wang; Deren Li
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Paper Abstract

This paper presents a perspective of spatial data mining. First, the motivation and development of spatial data mining are overviewed. Second, the intension and extension of spatial data mining concept are presented in the knowledge to be discovered, and the relationships between spatial data mining and other subjects. Third, the discovery mechanism is taken as a process of discovering a form of rules plus exceptions at hierarchal view-angles with various thresholds. Fourth, mining granularity is proposed as the measurement of data, information and knowledge. Fifth, the existing theories and techniques are briefed. Finally, the whole paper is concluded.

Paper Details

Date Published: 2 December 2005
PDF: 10 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 604518 (2 December 2005); doi: 10.1117/12.651101
Show Author Affiliations
Shuliang Wang, Wuhan Univ. (China)
Tsinghua Univ. (China)
National Lab. for Information Engineering in Surveying, Mapping and Remote Sensing (China)
Deren Li, National Lab. for Information Engineering in Surveying, Mapping and Remote Sensing (China)


Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

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