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dc.contributor.authorYildiz, B.
dc.contributor.authorErgenç, B.
dc.date.accessioned2021-02-12T18:43:53Z
dc.date.available2021-02-12T18:43:53Z
dc.date.issued2012
dc.identifier.isbn9781461416944
dc.identifier.issn1876-1100
dc.identifier.urihttps://doi.org/10.1007/978-1-4614-1695-1_19
dc.identifier.urihttps://hdl.handle.net/11147/9813
dc.descriptionInternational Conference on Advances in Intelligent Control and Innovative Computingen_US
dc.description.abstractIn this work, we propose an integrated itemset hiding algorithm that eliminates the need of pre-mining and post-mining and uses a simple heuristic in selecting the itemset and the item in itemset for distortion. Base algorithm (matrix-apriori) works without candidate generation so efficiency is increased. Performance evaluation demonstrates (1) the side effect (lost itemsets) and time while increasing the number of sensitive itemsets and support of itemset and (2) speed up by integrating the post mining. © 2012 Springer Science+Business Media, LLC.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1007/978-1-4614-1695-1_19en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMatrix-apriorien_US
dc.subjectPrivacy preserving data miningen_US
dc.subjectSensitive itemset hidingen_US
dc.titleIntegrated approach for privacy preserving itemset miningen_US
dc.typeconferenceObjecten_US
dc.typeconferenceObjecten_US
dc.relation.journalLecture Notes in Electrical Engineeringen_US
dc.contributor.departmentIzmir Isntitute of Technologyen_US
dc.identifier.volume110 LNEEen_US
dc.identifier.startpage247en_US
dc.identifier.endpage260en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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