A quadtree-based dynamic attribute indexing method
buir.contributor.author | Ulusoy, Özgür | |
dc.citation.epage | 200 | en_US |
dc.citation.issueNumber | 3 | en_US |
dc.citation.spage | 185 | en_US |
dc.citation.volumeNumber | 41 | en_US |
dc.contributor.author | Tayeb, J. | en_US |
dc.contributor.author | Ulusoy, Özgür | en_US |
dc.contributor.author | Wolfson, O. | en_US |
dc.date.accessioned | 2016-02-08T10:43:38Z | |
dc.date.available | 2016-02-08T10:43:38Z | en_US |
dc.date.issued | 1998 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description.abstract | Dynamic attributes are attributes that change continuously over time making it impractical to issue explicit updates for every change. In this paper, we adapt a variant of the quadtree structure to solve the problem of indexing dynamic attributes. The approach is based on the key idea of using a linear function of time for each dynamic attribute that allows us to predict its value in the future. We contribute an algorithm for regenerating the quadtree-based index periodically that minimizes CPU and disk access cost. We also provide an experimental study of performance focusing on query processing and index update overheads. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T10:43:38Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1998 | en_US |
dc.identifier.doi | 10.1093/comjnl/41.3.185 | en_US |
dc.identifier.eissn | 1460-2067 | |
dc.identifier.issn | 0010-4620 | |
dc.identifier.uri | http://hdl.handle.net/11693/25367 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Oxford University Press | en_US |
dc.relation.isversionof | https://doi.org/10.1093/comjnl/41.3.185 | en_US |
dc.source.title | Computer Journal | en_US |
dc.title | A quadtree-based dynamic attribute indexing method | en_US |
dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- A Quadtree-Based Dynamic Attribute Indexing Method.pdf
- Size:
- 190.01 KB
- Format:
- Adobe Portable Document Format
- Description:
- Full printable version