Name
Abstract | ||
|---|---|---|
Spatial Data Warehouses (SDWs) combine DWs and Spatial Data Bases (SDBs) for managing significant amounts of historical data that include spatial location. Some spatial information can be seen as a continuous field, and the information of interest is obtained at each point of a space. The previously proposed extensions of the multidimensional data model, used in Data Warehousing, only deal with spatial objects. None of them consider field-based information. This paper presents a Data Warehouse architecture that automatically determines the best parameters for refreshing and integrating field-based data from different data sources. |
Year | Venue | Keywords |
|---|---|---|
2007 | ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION | Spatial Data Warehouse,extraction,field-based data |
Field | DocType | Citations |
Data warehouse,Data mining,Architecture,Computer science,Database | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Salguero | 1 | 59 | 13.55 |
| Francisco Araque | 2 | 73 | 12.27 |
| Ramón Alberto Carrasco | 3 | 78 | 10.67 |