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» A Clustering Approach for Achieving Data Privacy
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ISI
2008
Springer
13 years 5 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 ...
DEXA
2007
Springer
140views Database» more  DEXA 2007»
14 years 13 days ago
Clustering-Based K-Anonymisation Algorithms
Abstract. K-anonymisation is an approach to protecting private information contained within a dataset. Many k-anonymisation methods have been proposed recently and one class of suc...
Grigorios Loukides, Jianhua Shao
PAKDD
2007
ACM
140views Data Mining» more  PAKDD 2007»
14 years 12 days ago
A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...
Zhouxuan Teng, Wenliang Du
PAISI
2010
Springer
13 years 4 months ago
Efficient Privacy Preserving K-Means Clustering
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
FSKD
2008
Springer
136views Fuzzy Logic» more  FSKD 2008»
13 years 7 months ago
k-Anonymity via Clustering Domain Knowledge for Privacy Preservation
Preservation of privacy in micro-data release is a challenging task in data mining. The k-anonymity method has attracted much attention of researchers. Quasiidentifier is a key co...
Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, She...