Proceedings Paper
Data preprocessing of spatial data mining| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
Data preprocessing is essential in spatial data mining. This paper presents some issues on data preprocessing. It pays more attention on incomplete data, inaccurate data, repetitive data, inconsistent data, and image data. Finally, a case is studied, and come with a satisfactory result.
Paper Details
Date Published: 2 December 2005
PDF: 7 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 604514 (2 December 2005); doi: 10.1117/12.650728
Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)
PDF: 7 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 604514 (2 December 2005); doi: 10.1117/12.650728
Show Author Affiliations
Hanning Yuan, Wuhan Univ. (China)
Shuliang Wang, Tsinghua Univ. (China)
Wuhan Univ. (China)
Wuhan Univ. (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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