569 search results - page 1 / 114 » An efficient clustering method for k-anonymization |
136
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DAWAK
2006
Springer
15 years 4 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 ...
97
Voted
FSKD
2008
Springer
15 years 2 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...
222
Voted
ICDE
2008
IEEE
16 years 2 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...
106
Voted
DMIN
2008
15 years 2 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...
143
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CGF
2010
14 years 10 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 ...