Please use this identifier to cite or link to this item: https://doi.org/10.1109/SSDBM.2006.41
DC FieldValue
dc.titleProgressive spatial join
dc.contributor.authorTok, W.H.
dc.contributor.authorBressan, S.
dc.contributor.authorLee, M.L.
dc.date.accessioned2013-07-04T08:31:12Z
dc.date.available2013-07-04T08:31:12Z
dc.date.issued2006
dc.identifier.citationTok, W.H.,Bressan, S.,Lee, M.L. (2006). Progressive spatial join. Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM : 353-356. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/SSDBM.2006.41" target="_blank">https://doi.org/10.1109/SSDBM.2006.41</a>
dc.identifier.isbn0769525903
dc.identifier.issn10993371
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41595
dc.description.abstractIn spatial data exploration and analysis, the system would present a user with initial promising results and empower the user to modify runtime query parameters. The high degree of interactivity would significantly reduce users ' waiting time for results that are not useful, and then having to re-issue a new query. To support this level of interaction during query processing, it necessitates the study of adaptive and progressive spatial query processing techniques that can deliver initial results quickly and adapt to run-time fluctuations during the delivery of remote data. Our goal is to design a generic framework for adaptive and progressive spatial query processing. In this paper, we present our ongoing work on designing progressive spatial join algorithm as an initial step. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/SSDBM.2006.41
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/SSDBM.2006.41
dc.description.sourcetitleProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
dc.description.page353-356
dc.identifier.isiutNOT_IN_WOS
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