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» Output privacy in data mining
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SDM
2007
SIAM
195views Data Mining» more  SDM 2007»
13 years 8 months ago
On Anonymization of String Data
String data is especially important in the privacy preserving data mining domain because most DNA and biological data is coded as strings. In this paper, we will discuss a new met...
Charu C. Aggarwal, Philip S. Yu
CIKM
2009
Springer
13 years 11 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 22 days ago
Privacy-Preserving Frequent Pattern Mining across Private Databases
Privacy consideration has much significance in the application of data mining. It is very important that the privacy of individual parties will not be exposed when data mining te...
Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang
PVLDB
2008
101views more  PVLDB 2008»
13 years 6 months ago
Output perturbation with query relaxation
Given a dataset containing sensitive personal information, a statistical database answers aggregate queries in a manner that preserves individual privacy. We consider the problem ...
Xiaokui Xiao, Yufei Tao
EDBT
2004
ACM
234views Database» more  EDBT 2004»
14 years 7 months ago
A Condensation Approach to Privacy Preserving Data Mining
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
Charu C. Aggarwal, Philip S. Yu