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» Data mining with differential privacy
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CORR
2008
Springer
159views Education» more  CORR 2008»
14 years 10 months ago
Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data
We consider privacy preserving decision tree induction via ID3 in the case where the training data is horizontally or vertically distributed. Furthermore, we consider the same pro...
Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl...
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
15 years 10 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
AUSDM
2008
Springer
188views Data Mining» more  AUSDM 2008»
14 years 12 months ago
Priority Driven K-Anonymisation for Privacy Protection
Given the threat of re-identification in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a difficult problem. ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
15 years 10 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
PAKDD
2010
ACM
128views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Privacy-Preserving Network Aggregation
Abstract. Consider the scenario where information about a large network is distributed across several different parties or commercial entities. Intuitively, we would expect that th...
Troy Raeder, Marina Blanton, Nitesh V. Chawla, Kei...