Electronic medical record privacy preservation through k-anonymity clustering method

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 176
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorMoonshik Shinko
dc.contributor.authorSunyong Yooko
dc.contributor.authorLee, Kwang-Hyungko
dc.contributor.authorDoheon Leeko
dc.date.accessioned2019-04-16T00:10:48Z-
dc.date.available2019-04-16T00:10:48Z-
dc.date.created2013-05-22-
dc.date.issued2012-11-20-
dc.identifier.citation13th International symposium on advanced intelligent systems(ISIS), pp.230 - 233-
dc.identifier.urihttp://hdl.handle.net/10203/259244-
dc.languageEnglish-
dc.publisherKorea Institute of Intelligent systems, Japan Society for Fuzzy theory and Intelligent Informatics-
dc.titleElectronic medical record privacy preservation through k-anonymity clustering method-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage230-
dc.citation.endingpage233-
dc.citation.publicationname13th International symposium on advanced intelligent systems(ISIS)-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationKobe-
dc.contributor.localauthorLee, Kwang-Hyung-
dc.contributor.nonIdAuthorMoonshik Shin-
dc.contributor.nonIdAuthorSunyong Yoo-
dc.contributor.nonIdAuthorDoheon Lee-
Appears in Collection
BiS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0