DocumentCode
2923754
Title
Hiding sensitive itemsets by inserting dummy transactions
Author
Hong, Tzung-Pei ; Lin, Chun-Wei ; Chang, Chia-Ching ; Wang, Shyue-Liang
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
fYear
2011
fDate
8-10 Nov. 2011
Firstpage
246
Lastpage
249
Abstract
The privacy-preserving data mining (PPDM) has become an important issue in recent years. In this paper, a greedy-based approach for hiding sensitive itemsets by inserting dummy transactions is proposed. It computes the maximal number of transactions to be inserted into the original database for totally hiding sensitive itemsets. Experimental results are also performed to evaluate the performance of the proposed approach.
Keywords
data encapsulation; data mining; data privacy; dummy transactions; greedy based approach; privacy preserving data mining; sensitive itemsets hiding; Algorithm design and analysis; Association rules; Data privacy; Gaussian distribution; Itemsets; data mining; dummy transaction; insertion; privay preserving; sensitive itemsets;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4577-0372-0
Type
conf
DOI
10.1109/GRC.2011.6122602
Filename
6122602
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