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» Practical Issues on Privacy-Preserving Health Data Mining
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DAWAK
2006
Springer
15 years 1 months ago
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
Ahmed HajYasien, Vladimir Estivill-Castro
ADC
2007
Springer
145views Database» more  ADC 2007»
15 years 4 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
ADC
2009
Springer
175views Database» more  ADC 2009»
15 years 4 months ago
Conditional Purpose Based Access Control Model for Privacy Protection
This paper presents a model for privacy preserving access control which is based on variety of purposes. Conditional purpose is applied along with allowed purpose and prohibited p...
Md. Enamul Kabir, Hua Wang
PVLDB
2010
95views more  PVLDB 2010»
14 years 8 months ago
Small Domain Randomization: Same Privacy, More Utility
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
Rhonda Chaytor, Ke Wang
IEEEARES
2006
IEEE
15 years 3 months ago
The Security Issue of Federated Data Warehouses in the Area of Evidence-Based Medicine
Healthcare organisations practicing evidence-based medicine strive to unite their data assets in order to achieve a wider knowledge base for more sophisticated research as well as...
Nevena Stolba, Marko Banek, A. Min Tjoa