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» Performance Measurements for Privacy Preserving Data Mining
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JCP
2007
148views more  JCP 2007»
14 years 9 months ago
P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
Iman Saleh, Mohamed Eltoweissy
PAKDD
2007
ACM
181views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Practical Issues on Privacy-Preserving Health Data Mining
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
Huidong Jin
SDM
2007
SIAM
195views Data Mining» more  SDM 2007»
14 years 11 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
71
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KDD
2010
ACM
194views Data Mining» more  KDD 2010»
15 years 1 months ago
Versatile publishing for privacy preservation
Motivated by the insufficiency of the existing quasi-identifier/sensitiveattribute (QI-SA) framework on modeling real-world privacy requirements for data publishing, we propose ...
Xin Jin, Mingyang Zhang, Nan Zhang 0004, Gautam Da...
FSKD
2008
Springer
136views Fuzzy Logic» more  FSKD 2008»
14 years 10 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...