DocumentCode
3260644
Title
Preserving Private Knowledge in Frequent Pattern Mining
Author
Wang, Zhihui ; Wang, Wei ; Shi, Baile ; Boey, S.H.
Author_Institution
Dept. of Comput. & Inf. Technol., Fudan Univ., Shanghai
fYear
2006
fDate
Dec. 2006
Firstpage
530
Lastpage
534
Abstract
The knowledge discovered by data mining may contain sensitive information, which may cause potential threats towards privacy and security. In this paper, we address the problem of better preserving private knowledge by proposing an Item-based Pattern Sanitization to prevent the disclosure of private patterns. We also present two strategies to generate a safe and shareable pattern set for preserving private knowledge in frequent pattern mining
Keywords
data mining; data privacy; pattern recognition; data preservation; pattern mining; private knowledge; Association rules; Conferences; Data mining; Data privacy; Data security; Information security; Information technology; Itemsets; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2702-7
Type
conf
DOI
10.1109/ICDMW.2006.132
Filename
4063684
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