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» Privacy and Data Mining: New Developments and Challenges
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ISI
2008
Springer
13 years 7 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 2 months ago
Privacy-Preserving k-NN for Small and Large Data Sets
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
Artak Amirbekyan, Vladimir Estivill-Castro
JCP
2007
148views more  JCP 2007»
13 years 7 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
ICDE
2009
IEEE
132views Database» more  ICDE 2009»
14 years 9 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino
WPES
2005
ACM
14 years 1 months ago
Mining rule semantics to understand legislative compliance
Organizations in privacy-regulated industries (e.g. healthcare and financial institutions) face significant challenges when developing policies and systems that are properly align...
Travis D. Breaux, Annie I. Antón