Mine geological hazard multi-dimensional spatial data warehouse construction research
Spatial data warehouse has the ability of integrating the mining geological hazard data, and gives the support of complex data analyzing and high-level decision-making. In order to construct such a mining geological hazard multi-dimensional data warehouse, based on the introduction of several concep...
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Published in | 2010 18th International Conference on Geoinformatics pp. 1 - 5 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2010
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Subjects | |
Online Access | Get full text |
ISBN | 1424473012 9781424473014 |
ISSN | 2161-024X |
DOI | 10.1109/GEOINFORMATICS.2010.5567673 |
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Abstract | Spatial data warehouse has the ability of integrating the mining geological hazard data, and gives the support of complex data analyzing and high-level decision-making. In order to construct such a mining geological hazard multi-dimensional data warehouse, based on the introduction of several concepts of data warehouse, the paper proposed the formal definitions of the dimension, the dimension hierarchy, the mining multidimensional data model and so on. Taking the landslide displacement theme as an example, the paper also identified the dimensions, the dimension hierarchies. Considering the complexity of geological hazard data analyzing, the paper adopted the mixture model to design the mining geological hazard multi-dimensional data warehouse. |
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AbstractList | Spatial data warehouse has the ability of integrating the mining geological hazard data, and gives the support of complex data analyzing and high-level decision-making. In order to construct such a mining geological hazard multi-dimensional data warehouse, based on the introduction of several concepts of data warehouse, the paper proposed the formal definitions of the dimension, the dimension hierarchy, the mining multidimensional data model and so on. Taking the landslide displacement theme as an example, the paper also identified the dimensions, the dimension hierarchies. Considering the complexity of geological hazard data analyzing, the paper adopted the mixture model to design the mining geological hazard multi-dimensional data warehouse. |
Author | Min Ji Ting Li Xiangwei Zhao Bo Ai Fengxiang Jin |
Author_xml | – sequence: 1 surname: Min Ji fullname: Min Ji email: jimin@sdust.edu.cn organization: Geomatics Coll., Shandong Univ. of Sci. & Technol., Qingdao, China – sequence: 2 surname: Fengxiang Jin fullname: Fengxiang Jin organization: Geomatics Coll., Shandong Univ. of Sci. & Technol., Qingdao, China – sequence: 3 surname: Xiangwei Zhao fullname: Xiangwei Zhao organization: Geomatics Coll., Shandong Univ. of Sci. & Technol., Qingdao, China – sequence: 4 surname: Bo Ai fullname: Bo Ai organization: Geomatics Coll., Shandong Univ. of Sci. & Technol., Qingdao, China – sequence: 5 surname: Ting Li fullname: Ting Li organization: Geomatics Coll., Shandong Univ. of Sci. & Technol., Qingdao, China |
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SubjectTerms | Data mining Data models data organization Data warehouses Geologic measurements Geology Hazards mine geological hazard multi-dimensional data model spatial data warehouse Terrain factors |
Title | Mine geological hazard multi-dimensional spatial data warehouse construction research |
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