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» Randomization in Privacy-Preserving Data Mining
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EDBT
2004
ACM
234views Database» more  EDBT 2004»
14 years 10 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
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 3 months 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
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 4 months ago
Differential Privacy for Clinical Trial Data: Preliminary Evaluations
—The concept of differential privacy as a rigorous definition of privacy has emerged from the cryptographic community. However, further careful evaluation is needed before we ca...
Duy Vu, Aleksandra Slavkovic
PAKDD
2005
ACM
115views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Performance Measurements for Privacy Preserving Data Mining
Abstract. This paper establishes the foundation for the performance measurements of privacy preserving data mining techniques. The performance is measured in terms of the accuracy ...
Nan Zhang 0004, Wei Zhao, Jianer Chen
DASFAA
2004
IEEE
164views Database» more  DASFAA 2004»
14 years 1 months ago
On Addressing Efficiency Concerns in Privacy-Preserving Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...
Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa