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SAC
2006
ACM
9 years 2 months ago
On the use of spectral filtering for privacy preserving data mining
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral ļ¬ltering, show the noise ma...
Songtao Guo, Xintao Wu
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
9 years 1 months ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
9 years 1 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
WPES
2003
ACM
9 years 1 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
SDM
2007
SIAM
195views Data Mining» more  SDM 2007»
8 years 9 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
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