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10. Araştırma Çıktıları
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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https://hdl.handle.net/11147/7148
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search.filters.author.Yıldız, Barış
search.filters.author.Ergenç, Belgin
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search.filters.institutionAuthor.Ergenç, Belgin
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search.filters.institutionAuthor.Yıldız, Barış
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search.filters.subject.Matrix-apriori
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search.filters.subject.Privacy preserving data mining
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search.filters.subject.Sensitive itemset hiding
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2012
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search.filters.department.İzmir Institute of Technology. Computer Engineering
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Conference Object
Citation - Scopus: 3
Integrated Approach for Privacy Preserving Itemset Mining
(
Springer
,
2012
)
Yıldız, Barış
;
Ergenç, Belgin
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In 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.
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