Name
Abstract | ||
|---|---|---|
According to increase of spatial data, many decision support systems require the fast spatio-temporal analysis. This paper proposes the improved index for efficient OLAP in a spatial data warehouse. The main idea is to use the hybrid index of the extended aggregation R-tree and the sorted hash table. The extended R-tree supports the spatial hierarchy with the level of R-tree. Also, it provides pre-aggregation for fast retrieval of the aggregated value. The sorted hash table is the transformed hash table for supporting the temporal hierarchy. So, it provides pre-aggregation of each temporal unit, year, month and etc. By the proposed hybrid index, an efficient spatio-temporal analysis can be sup-ported since it provides the spatio-temporal hierarchy and the pre-aggregated value. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11890393_12 | ADVIS |
Keywords | Field | DocType |
spatial hierarchy,extended r-tree,improved index,spatio-temporal olap operation,spatial data,hash table,spatial data warehouse,proposed hybrid index,hybrid index,fast spatio-temporal analysis,efficient spatio-temporal analysis,decision support system,indexation | Data warehouse,Spatial analysis,R-tree,Data mining,Computer science,Hash function,Online analytical processing,Hierarchy,Spatial database,Hash table | Conference |
Volume | ISSN | ISBN |
4243 | 0302-9743 | 3-540-46291-0 |
Citations | PageRank | References |
6 | 0.57 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Byeong-Seob You | 1 | 8 | 1.94 |
| Dongwook Lee | 2 | 418 | 62.32 |
| Sang Hun Eo | 3 | 19 | 3.52 |
| Jae-Dong Lee | 4 | 175 | 26.07 |
| Hae-Young Bae | 5 | 78 | 31.47 |