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» Data mining with differential privacy
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EDBT
2004
ACM
234views Database» more  EDBT 2004»
15 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
ICDE
2010
IEEE
214views Database» more  ICDE 2010»
15 years 9 months ago
Differential Privacy via Wavelet Transforms
Privacy preserving data publishing has attracted considerable research interest in recent years. Among the existing solutions, -differential privacy provides one of the strongest p...
Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
PAKDD
2005
ACM
115views Data Mining» more  PAKDD 2005»
15 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»
15 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
DMKD
2004
ACM
136views Data Mining» more  DMKD 2004»
15 years 3 months ago
Mining association rules with non-uniform privacy concerns
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
Yi Xia, Yirong Yang, Yun Chi