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Title: Integrated approach for privacy preserving itemset mining
Authors: Yıldız, Barış
Ergenç, Belgin
Keywords: Matrix-apriori
Privacy preserving data mining
Sensitive itemset hiding
Issue Date: 2012
Publisher: Springer
Abstract: 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.
ISBN: 978-146141694-4
ISSN: 1876-1100
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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