Sciweavers

109 search results - page 5 / 22
» Practical Issues on Privacy-Preserving Health Data Mining
Sort
View
WPES
2003
ACM
15 years 3 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»
15 years 3 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...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
15 years 10 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
ICDE
2006
IEEE
144views Database» more  ICDE 2006»
15 years 3 months ago
PRIVATE-IYE: A Framework for Privacy Preserving Data Integration
Data integration has been a long standing challenge to the database and data mining communities. This need has become critical in numerous contexts, including building e-commerce ...
Sourav S. Bhowmick, Le Gruenwald, Mizuho Iwaihara,...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 4 months ago
Fine-Grain Perturbation for Privacy Preserving Data Publishing
— Recent work [12] shows that conventional privacy preserving publishing techniques based on anonymity-groups are susceptible to corruption attacks. In a corruption attack, if th...
Rhonda Chaytor, Ke Wang, Patricia Brantingham