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» Privacy and Data Mining: New Developments and Challenges
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DBSEC
2009
112views Database» more  DBSEC 2009»
13 years 8 months ago
Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers
There is an increasing need for sharing data repositories containing personal information across multiple distributed and private databases. However, such data sharing is subject t...
Pawel Jurczyk, Li Xiong
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
13 years 5 months ago
Efficient Anonymizations with Enhanced Utility
The k-anonymization method is a commonly used privacy-preserving technique. Previous studies used various measures of utility that aim at enhancing the correlation between the orig...
Jacob Goldberger, Tamir Tassa
ICDE
2007
IEEE
209views Database» more  ICDE 2007»
14 years 2 months ago
Hierarchical Temporal Association Mining for Video Event Detection in Video Databases
With the proliferation of multimedia data and evergrowing requests for multimedia applications, new challenges are emerged for efficient and effective managing and accessing large...
Min Chen, Shu-Ching Chen, Mei-Ling Shyu
IEEEVAST
2010
13 years 2 months ago
GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation
Our visual analytics tool GeneTracer, developed for the VAST 2010 genetic sequence mini challenge, visualizes gene sequences of current outbreaks and native sequences along with d...
Hanseung Lee, Jaegul Choo, Carsten Görg, Jaee...
ADMA
2006
Springer
137views Data Mining» more  ADMA 2006»
13 years 11 months ago
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases
Abstract. The issue of maintaining privacy in frequent itemset mining has attracted considerable attentions. In most of those works, only distorted data are available which may bri...
Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan