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ISI
2008
Springer
13 years 10 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
ICIS
2004
13 years 12 months ago
Opting-in or Opting-out on the Internet: Does it Really Matter?
Personal privacy has become one of the pressure points that comprises utmost primacy in the scientific community. An often debated privacy issue concerns the means of soliciting c...
Yee-Lin Lai, Kai Lung Hui
KDD
2010
ACM
232views Data Mining» more  KDD 2010»
14 years 2 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
SIGMOD
2005
ACM
128views Database» more  SIGMOD 2005»
14 years 10 months ago
Deriving Private Information from Randomized Data
Randomization has emerged as a useful technique for data disguising in privacy-preserving data mining. Its privacy properties have been studied in a number of papers. Kargupta et ...
Zhengli Huang, Wenliang Du, Biao Chen
VLDB
2006
ACM
172views Database» more  VLDB 2006»
14 years 10 months ago
Hierarchical hippocratic databases with minimal disclosure for virtual organizations
Abstract The protection of customer privacy is a fundamental issue in today's corporate marketing strategies. Not surprisingly, many research efforts have proposed new privacy...
Fabio Massacci, John Mylopoulos, Nicola Zannone