Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDE.2003.1260830
DC FieldValue
dc.titlePreference-driven query processing
dc.contributor.authorEng, P.-K.
dc.contributor.authorOoi, B.C.
dc.contributor.authorSim, H.S.
dc.contributor.authorTan, K.-L.
dc.date.accessioned2013-07-04T07:58:37Z
dc.date.available2013-07-04T07:58:37Z
dc.date.issued2003
dc.identifier.citationEng, P.-K., Ooi, B.C., Sim, H.S., Tan, K.-L. (2003). Preference-driven query processing. Proceedings - International Conference on Data Engineering : 671-673. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDE.2003.1260830
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40187
dc.description.abstractIn this paper, we propose a partition-based framework for evaluating preference queries. The framework is independent of how partitions are generated, and returns answers progressively as the query is being evaluated. We evaluated the framework using partitions obtained from the leaf nodes of R-stress. Our study shows that our approach can shorten the initial response time.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICDE.2003.1260830
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICDE.2003.1260830
dc.description.sourcetitleProceedings - International Conference on Data Engineering
dc.description.page671-673
dc.description.codenPIDEE
dc.identifier.isiut000186827800054
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on May 17, 2022

Page view(s)

151
checked on May 12, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.