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Conference Paper: Efficient top-k subscription matching for location-aware publish/subscribe

TitleEfficient top-k subscription matching for location-aware publish/subscribe
Authors
Issue Date2015
Citation
The 2015 International Symposium on Spatial and Temporal Databases (SSTD 2015), HKUST, Hong Kong, 26-28 August 2015. How to Cite?
DescriptionSession 6 - Privacy and Matching
Accepted Research Papers
Persistent Identifierhttp://hdl.handle.net/10722/211456

 

DC FieldValueLanguage
dc.contributor.authorHu, J-
dc.contributor.authorCheng, R-
dc.contributor.authorWu, D-
dc.contributor.authorJin, B-
dc.date.accessioned2015-07-14T06:53:41Z-
dc.date.available2015-07-14T06:53:41Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 International Symposium on Spatial and Temporal Databases (SSTD 2015), HKUST, Hong Kong, 26-28 August 2015.-
dc.identifier.urihttp://hdl.handle.net/10722/211456-
dc.descriptionSession 6 - Privacy and Matching-
dc.descriptionAccepted Research Papers-
dc.languageeng-
dc.relation.ispartofInternational Symposium on Spatial and Temporal Databases, SSTD 2015-
dc.titleEfficient top-k subscription matching for location-aware publish/subscribe-
dc.typeConference_Paper-
dc.identifier.emailCheng, R: ckcheng@cs.hku.hk-
dc.identifier.emailWu, D: dmwu@cs.hku.hk-
dc.identifier.authorityCheng, R=rp00074-
dc.identifier.hkuros244982-

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