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

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings
编辑	Xue Li, Osmar R. Zaïane, Zhanhuai Li
出版商	Springer Verlag
页	1065-1076
页数	12
ISBN（印刷版）	3540370250, 9783540370253
DOI	https://doi.org/10.1007/11811305_116
出版状态	已出版 - 2006
已对外发布	是
活动	2nd International Conference on Advanced Data Mining and Applications, ADMA 2006 - Xi'an, 中国期限: 14 8月 2006 → 16 8月 2006

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	4093 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	2nd International Conference on Advanced Data Mining and Applications, ADMA 2006
国家/地区	中国
市	Xi'an
时期	14/08/06 → 16/08/06

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10.1007/11811305_116

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引用此

Wang, S., & Yuan, H. (2006). View-angle of spatial data mining. 在 X. Li, O. R. Zaïane, & Z. Li (编辑), Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings (页码 1065-1076). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 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. 编辑 / Xue Li ; Osmar R. Zaïane ; Zhanhuai Li. Springer Verlag, 2006. 页码 1065-1076 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{96ea93edda914ce68e58093b0a4a3e6a,

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",

language = "English",

isbn = "3540370250",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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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. 在 X Li, OR Zaïane & Z Li (编辑), 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), 卷 4093 LNAI, Springer Verlag, 页码 1065-1076, 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, Xi'an, 中国, 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. 编辑 / Xue Li; Osmar R. Zaïane; Zhanhuai Li. Springer Verlag, 2006. 页码 1065-1076 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4093 LNAI).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - View-angle of spatial data mining

AU - Wang, Shuliang

AU - Yuan, Haning

PY - 2006

Y1 - 2006

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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U2 - 10.1007/11811305_116

DO - 10.1007/11811305_116

M3 - Conference contribution

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)

SP - 1065

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BT - Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings

A2 - Li, Xue

A2 - Zaïane, Osmar R.

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Wang S, Yuan H. View-angle of spatial data mining. 在 Li X, Zaïane OR, Li Z, 编辑, Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings. Springer Verlag. 2006. 页码 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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