Towards Association Rule Hiding Heuristics vs Border-based Approaches

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dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authorwosidKARCI, Ali/A-9604-2019
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.contributor.authorFarea, Afrah
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:41:40Z
dc.date.available2024-08-04T20:41:40Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description9th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 26-28, 2015 -- Bursa, TURKEYen_US
dc.description.abstractAssociation rule hiding has been playing a very important rule in Privacy Preserving Data Mining and has been gaining the attention of many researchers. Many algorithms are developed with authors claiming the superiority of their algorithms. In this respect, we selectively choose some state of the art approaches in the context of association rule hiding heuristics and border-based approaches and examine their results on Mushroom and Retail datasets.en_US
dc.description.sponsorshipChamber Elect Engineers Bursa Branch,Istanbul Techn Univ, Fac Elect & Elect Engn,Uludag Univ, Dept Elect & Elect Engn,IEEE, Reg 8,IEEE Turkey Sect, CAS Chapter,Sci & Technol Res Council Turkeyen_US
dc.identifier.endpage1178en_US
dc.identifier.scopus2-s2.0-84963829486en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1173en_US
dc.identifier.urihttps://hdl.handle.net/11616/97273
dc.identifier.wosWOS:000380410800201en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 9th International Conference on Electrical and Electronics Engineering (Eleco)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleTowards Association Rule Hiding Heuristics vs Border-based Approachesen_US
dc.typeConference Objecten_US

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