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» Privacy-Preserving Data Imputation
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ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
14 years 25 days 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
ICEB
2004
175views Business» more  ICEB 2004»
13 years 9 months ago
Privacy-Preserving Collaborative Association Rule Mining
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among parties i...
Justin Z. Zhan, Stan Matwin, Nathalie Japkowicz, L...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
14 years 7 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
ICDE
2009
IEEE
141views Database» more  ICDE 2009»
14 years 9 months ago
Privacy Preserving Publishing on Multiple Quasi-identifiers
In some applications of privacy preserving data publishing, a practical demand is to publish a data set on multiple quasi-identifiers for multiple users simultaneously, which poses...
Jian Pei, Yufei Tao, Jiexing Li, Xiaokui Xiao
ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
13 years 5 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka