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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ho-Hyun Park Chan-Gun Lee Yong-Ju Lee Chin-Wan Chung |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea (Ho-Hyun Park) |
| Abstract | The spatial query has been processed in two steps, the filter step and the refinement step, due to the large volume and high complexity of the spatial data. However, this approach has been considered only in the query execution phase after completion of the query optimization phase. This paper presents query optimization strategies which take the characteristics of spatial databases into account. The first strategy is the separation of filter and refinement steps not in the query execution phase but in the query optimization phase. As the second strategy, several refinement operations can be combined in processing a complex query, and as the third strategy several filter operations can also be combined. We call the optimization technique utilizing these strategies the early separated filter and refinement (ESFAR). This paper also presents a rule-based optimization technique for ESFAR. |
| Starting Page | 161 |
| Ending Page | 168 |
| File Size | 155467 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769500846 |
| DOI | 10.1109/DASFAA.1999.765748 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-04-21 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Query processing Spatial databases Relational databases Finite impulse response filter Database systems Geographic Information Systems Costs Electrical capacitance tomography Computer science Application software |
| Content Type | Text |
| Resource Type | Article |
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