View-angle of spatial data mining

Shuliang Wang; Haning Yuan

doi:10.1007/11811305_116

View-angle of spatial data mining

Shuliang Wang^*, Haning Yuan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In order to discover the knowledge with various granularities from amounts of spatial data, a view-angle of spatial data mining is proposed. First, the view-angle of spatial data mining is defined. In its context, the essentials of spatial data mining are further developed. And the view-angle based algorithms are also presented. Second, the view-angles of Baota landslide-monitoring data mining, and their pan-hierarchical relationships, are given. Finally, view-angle III is taken as a case study to discover quantitative, qualitative and visualized knowledge from Baota landslide-monitoring databases. The results indicate that the view-angle based data mining is practical, and the discovered knowledge with various granularities may satisfy spatial decision-making at different hierarchies.

Original language	English
Title of host publication	Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings
Editors	Xue Li, Osmar R. Zaïane, Zhanhuai Li
Publisher	Springer Verlag
Pages	1065-1076
Number of pages	12
ISBN (Print)	3540370250, 9783540370253
DOIs	https://doi.org/10.1007/11811305_116
Publication status	Published - 2006
Externally published	Yes
Event	2nd International Conference on Advanced Data Mining and Applications, ADMA 2006 - Xi'an, China Duration: 14 Aug 2006 → 16 Aug 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4093 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Advanced Data Mining and Applications, ADMA 2006
Country/Territory	China
City	Xi'an
Period	14/08/06 → 16/08/06

Access to Document

10.1007/11811305_116

Cite this

Wang, S., & Yuan, H. (2006). View-angle of spatial data mining. In X. Li, O. R. Zaïane, & Z. Li (Eds.), Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings (pp. 1065-1076). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4093 LNAI). Springer Verlag. https://doi.org/10.1007/11811305_116

Wang, Shuliang ; Yuan, Haning. / View-angle of spatial data mining. Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings. editor / Xue Li ; Osmar R. Zaïane ; Zhanhuai Li. Springer Verlag, 2006. pp. 1065-1076 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "View-angle of spatial data mining",

abstract = "In order to discover the knowledge with various granularities from amounts of spatial data, a view-angle of spatial data mining is proposed. First, the view-angle of spatial data mining is defined. In its context, the essentials of spatial data mining are further developed. And the view-angle based algorithms are also presented. Second, the view-angles of Baota landslide-monitoring data mining, and their pan-hierarchical relationships, are given. Finally, view-angle III is taken as a case study to discover quantitative, qualitative and visualized knowledge from Baota landslide-monitoring databases. The results indicate that the view-angle based data mining is practical, and the discovered knowledge with various granularities may satisfy spatial decision-making at different hierarchies.",

author = "Shuliang Wang and Haning Yuan",

year = "2006",

doi = "10.1007/11811305_116",

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editor = "Xue Li and Za{\"i}ane, {Osmar R.} and Zhanhuai Li",

booktitle = "Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings",

address = "Germany",

note = "2nd International Conference on Advanced Data Mining and Applications, ADMA 2006 ; Conference date: 14-08-2006 Through 16-08-2006",

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Wang, S & Yuan, H 2006, View-angle of spatial data mining. in X Li, OR Zaïane & Z Li (eds), Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4093 LNAI, Springer Verlag, pp. 1065-1076, 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, Xi'an, China, 14/08/06. https://doi.org/10.1007/11811305_116

View-angle of spatial data mining. / Wang, Shuliang; Yuan, Haning.
Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings. ed. / Xue Li; Osmar R. Zaïane; Zhanhuai Li. Springer Verlag, 2006. p. 1065-1076 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4093 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - View-angle of spatial data mining

AU - Wang, Shuliang

AU - Yuan, Haning

PY - 2006

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N2 - In order to discover the knowledge with various granularities from amounts of spatial data, a view-angle of spatial data mining is proposed. First, the view-angle of spatial data mining is defined. In its context, the essentials of spatial data mining are further developed. And the view-angle based algorithms are also presented. Second, the view-angles of Baota landslide-monitoring data mining, and their pan-hierarchical relationships, are given. Finally, view-angle III is taken as a case study to discover quantitative, qualitative and visualized knowledge from Baota landslide-monitoring databases. The results indicate that the view-angle based data mining is practical, and the discovered knowledge with various granularities may satisfy spatial decision-making at different hierarchies.

AB - In order to discover the knowledge with various granularities from amounts of spatial data, a view-angle of spatial data mining is proposed. First, the view-angle of spatial data mining is defined. In its context, the essentials of spatial data mining are further developed. And the view-angle based algorithms are also presented. Second, the view-angles of Baota landslide-monitoring data mining, and their pan-hierarchical relationships, are given. Finally, view-angle III is taken as a case study to discover quantitative, qualitative and visualized knowledge from Baota landslide-monitoring databases. The results indicate that the view-angle based data mining is practical, and the discovered knowledge with various granularities may satisfy spatial decision-making at different hierarchies.

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AN - SCOPUS:33749386393

SN - 3540370250

SN - 9783540370253

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Wang S, Yuan H. View-angle of spatial data mining. In Li X, Zaïane OR, Li Z, editors, Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings. Springer Verlag. 2006. p. 1065-1076. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11811305_116

View-angle of spatial data mining

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