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» Optimal randomization for privacy preserving data mining
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WPES
2003
ACM
13 years 10 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
13 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...
ETRICS
2006
13 years 8 months ago
Privacy-Preserving Decision Tree Mining Based on Random Substitutions
Privacy-preserving decision tree mining is an important problem that has yet to be thoroughly understood. In fact, the privacypreserving decision tree mining method explored in the...
Jim Dowd, Shouhuai Xu, Weining Zhang
DMKD
2004
ACM
136views Data Mining» more  DMKD 2004»
13 years 10 months ago
Mining association rules with non-uniform privacy concerns
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
Yi Xia, Yirong Yang, Yun Chi