Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDEW.2008.4498313
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dc.titleSkyline-join in distributed databases
dc.contributor.authorSun, D.
dc.contributor.authorWu, S.
dc.contributor.authorLi, J.
dc.contributor.authorTung, A.K.H.
dc.date.accessioned2013-07-04T08:04:35Z
dc.date.available2013-07-04T08:04:35Z
dc.date.issued2008
dc.identifier.citationSun, D., Wu, S., Li, J., Tung, A.K.H. (2008). Skyline-join in distributed databases. Proceedings - International Conference on Data Engineering : 176-181. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDEW.2008.4498313
dc.identifier.isbn9781424421626
dc.identifier.issn10844627
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40450
dc.description.abstractThe database research community has recently recognized the usefulness of skyline query. As an extension of existing database operator, the skyline query is valuable for multi-criteria decision making. However, current research tends to assume that the skyline operator is applied to one table which is not true for many applications on web databases. In web databases, tables are distributed in different sites, and a skyline query may involve attributes of multiple tables. In this paper, we address the problem of processing skyline queries on multiple tables In a distributed environment. We call the new operator skyline-join, as it is a hybrid of skyline and join operations. We propose two efficient approaches to process skyline-join queries which can significantly reduce the communication cost and processing time. Experiments are conducted and results show that our approaches are efficient for distributed skyline-join queries. © 2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICDEW.2008.4498313
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICDEW.2008.4498313
dc.description.sourcetitleProceedings - International Conference on Data Engineering
dc.description.page176-181
dc.identifier.isiut000257937500028
Appears in Collections:Staff Publications

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