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» Performance Measurements for Privacy Preserving Data Mining
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110
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ICDM
2003
IEEE
112views Data Mining» more  ICDM 2003»
15 years 7 months ago
Privacy-preserving Distributed Clustering using Generative Models
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Srujana Merugu, Joydeep Ghosh
NDSS
2008
IEEE
15 years 8 months ago
Analyzing Privacy in Enterprise Packet Trace Anonymization
Accurate network measurement through trace collection is critical for advancing network design and for maintaining secure, reliable networks. Unfortunately, the release of network...
Bruno F. Ribeiro, Weifeng Chen, Gerome Miklau, Don...
COMSNETS
2012
183views more  COMSNETS 2012»
13 years 9 months ago
Effects of network trace sampling methods on privacy and utility metrics
—Researchers choosing to share wireless-network traces with colleagues must first anonymize sensitive information, trading off the removal of information in the interest of iden...
Phil Fazio, Keren Tan, David Kotz
103
Voted
COMPSAC
2004
IEEE
15 years 5 months ago
Hiding Sensitive Patterns in Association Rules Mining
Data mining techniques have been developed in many applications. However, it also causes a threat to privacy. We investigate to find an appropriate balance between a need for priv...
Guanling Lee, Chien-Yu Chang, Arbee L. P. Chen
COMPSAC
2005
IEEE
15 years 3 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin