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» On Anonymization of String Data
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PAKDD
2010
ACM
275views Data Mining» more  PAKDD 2010»
15 years 1 months ago
Anonymizing Transaction Data by Integrating Suppression and Generalization
Abstract. Privacy protection in publishing transaction data is an important problem. A key feature of transaction data is the extreme sparsity, which renders any single technique i...
Junqiang Liu, Ke Wang
EDBT
2008
ACM
154views Database» more  EDBT 2008»
15 years 9 months ago
Anonymity for continuous data publishing
k-anonymization is an important privacy protection mechanism in data publishing. While there has been a great deal of work in recent years, almost all considered a single static r...
Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jia...
CCS
2010
ACM
15 years 24 days ago
Towards publishing recommendation data with predictive anonymization
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...
KDD
2008
ACM
202views Data Mining» more  KDD 2008»
15 years 10 months ago
Data and Structural k-Anonymity in Social Networks
The advent of social network sites in the last years seems to be a trend that will likely continue. What naive technology users may not realize is that the information they provide...
Alina Campan, Traian Marius Truta
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
16 years 9 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang