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IEEECIT
2006
IEEE
15 years 10 months ago
Towards Balancing Data Usefulness and Privacy Protection in K-Anonymisation
K-anonymisation, as an approach to protecting data privacy, has received much recent attention from the database research community. Given a single table, there can be many ways t...
Grigorios Loukides, Jianhua Shao
VLDB
2002
ACM
123views Database» more  VLDB 2002»
15 years 4 months ago
Maintaining Data Privacy in Association Rule Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. We investigate here,...
Shariq Rizvi, Jayant R. Haritsa
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
15 years 10 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...
SACMAT
2005
ACM
15 years 10 months ago
Purpose based access control of complex data for privacy protection
As privacy becomes a major concern for both consumers and enterprises, many research efforts have been devoted to the development of privacy protecting technology. We recently pr...
Ji-Won Byun, Elisa Bertino, Ninghui Li
CORR
2008
Springer
159views Education» more  CORR 2008»
15 years 4 months ago
Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data
We consider privacy preserving decision tree induction via ID3 in the case where the training data is horizontally or vertically distributed. Furthermore, we consider the same pro...
Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl...