569 search results - page 1 / 114 » An efficient clustering method for k-anonymization |
DAWAK
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view ...
FSKD
2008
Springer
13 years 5 months ago
2008
Springer
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...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
DMIN
2008
13 years 6 months ago
2008
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
CGF
2010
13 years 1 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...