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Towards Association Rule Hiding Heuristics vs Border-based Approaches

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dc.contributor.author Farea, Afrah
dc.contributor.author Karcı, Ali
dc.date.accessioned 2020-07-02T09:58:02Z
dc.date.available 2020-07-02T09:58:02Z
dc.date.issued 2015
dc.identifier.citation Farea, A., Karci, A. Towards Association Rule Hiding Heuristics vs Border-based Approaches. (2015). tr_TR
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/16327
dc.description 2015 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO) Book Group Author(s):IEEE Pages: 1173-1178 Published: 2015 Document Type:Proceedings Paper Conference Conference: 9th International Conference on Electrical and Electronics Engineering (ELECO) Location: Bursa, TURKEY Date: NOV 26-28, 2015 Sponsor(s):Chamber 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 Turkey tr_TR
dc.description.abstract Association 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. tr_TR
dc.language.iso en tr_TR
dc.publisher IEEE, tr_TR
dc.title Towards Association Rule Hiding Heuristics vs Border-based Approaches tr_TR
dc.type Article tr_TR


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