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SIGKDD
2002
93views more  SIGKDD 2002»
13 years 5 months ago
Randomization in Privacy-Preserving Data Mining
Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...
Alexandre V. Evfimievski
PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
13 years 11 months ago
Privacy Preserving Market Basket Data Analysis
Randomized Response techniques have been empirically investigated in privacy preserving association rule mining. However, previous research on privacy preserving market basket data...
Ling Guo, Songtao Guo, Xintao Wu
FSKD
2008
Springer
136views Fuzzy Logic» more  FSKD 2008»
13 years 6 months ago
k-Anonymity via Clustering Domain Knowledge for Privacy Preservation
Preservation of privacy in micro-data release is a challenging task in data mining. The k-anonymity method has attracted much attention of researchers. Quasiidentifier is a key co...
Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, She...
PERVASIVE
2008
Springer
13 years 5 months ago
AnonySense: Opportunistic and Privacy-Preserving Context Collection
Opportunistic sensing allows applications to "task" mobile devices to measure context in a target region. For example, one could leverage sensorequipped vehicles to measu...
Apu Kapadia, Nikos Triandopoulos, Cory Cornelius, ...
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
13 years 6 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...