Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/9873
Title: | Integrated approach for privacy preserving itemset mining | Authors: | Yıldız, Barış Ergenç, Belgin |
Keywords: | Matrix-apriori Privacy preserving data mining Sensitive itemset hiding |
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. | URI: | https://doi.org/10.1007/978-1-4614-1695-1_19 https://hdl.handle.net/11147/9873 |
ISBN: | 978-146141694-4 | ISSN: | 1876-1100 |
Appears in Collections: | Computer Engineering / Bilgisayar Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
---|---|---|---|
10.1007@978-1-4614-1695-119.pdf | 328.83 kB | Adobe PDF | View/Open |
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