dc.contributor.author |
Brown, P |
en |
dc.contributor.author |
Link, Sebastian |
en |
dc.date.accessioned |
2017-05-31T01:12:59Z |
en |
dc.date.issued |
2017-03-01 |
en |
dc.identifier.citation |
IEEE Transactions on Knowledge and Data Engineering 29(3):670-682 01 Mar 2017 |
en |
dc.identifier.issn |
1041-4347 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/33185 |
en |
dc.description.abstract |
Probabilistic databases address well the requirements of an increasing number of modern applications that produce large volumes of uncertain data from a variety of sources. Probabilistic keys enforce the integrity of entities in order to facilitate data processing in probabilistic database systems. For this purpose, we establish algorithms for an agile schema-and data-driven elicitation of the marginal probability by which keys should hold in a given application domain, and for reasoning about these keys. The efficiency of our elicitation framework is demonstrated theoretically and experimentally. |
en |
dc.publisher |
Institute of Electrical and Electronics Engineers |
en |
dc.relation.ispartofseries |
IEEE Transactions on Knowledge and Data Engineering |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/1041-4347/ |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
Probabilistic Keys |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1109/TKDE.2016.2633342 |
en |
pubs.issue |
3 |
en |
pubs.begin-page |
670 |
en |
pubs.volume |
29 |
en |
dc.description.version |
AM - Accepted Manuscript |
en |
dc.rights.holder |
Copyright: Institute of Electrical and Electronics Engineers |
en |
pubs.end-page |
682 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
612561 |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
School of Computer Science |
en |
dc.identifier.eissn |
1558-2191 |
en |
pubs.record-created-at-source-date |
2017-05-31 |
en |