1. Adelaide Research & Scholarship
  2. Schools and Disciplines
  3. School of Computer Science
  4. Computer Science publications
Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108839
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLi, Y.-
dc.contributor.authorShen, H.-
dc.contributor.authorLang, C.-
dc.contributor.authorDong, H.-
dc.date.issued2016-
dc.identifier.citationNeurocomputing, 2016; 218:359-370-
dc.identifier.issn0925-2312-
dc.identifier.issn1872-8286-
dc.identifier.urihttp://hdl.handle.net/2440/108839-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityYidong Li, Hong Shen, Congyan Lang, Hairong Dong-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2016 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.neucom.2016.08.084-
dc.subjectAnonymity; weighted graph; privacy preserving graph mining; weight anonymization-
dc.titlePractical anonymity models on protecting private weighted graphs-
dc.typeJournal article-
dc.identifier.doi10.1016/j.neucom.2016.08.084-
dc.relation.grant#2014JBM042-
dc.relation.grant#2015ZBJ007-
pubs.publication-statusPublished-
dc.identifier.orcidShen, H. [0000-0002-3663-6591] [0000-0003-0649-0648]-
Appears in Collections:Aurora harvest 3
Computer Science publications

Files in This Item:
File Description SizeFormat 
RA_hdl_108839.pdf
  Restricted Access		Restricted Access1.5 MBAdobe PDFView/Open
Show simple item record


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