359 search results - page 2 / 72 » A Clustering Approach for Achieving Data Privacy |
ADC
2007
Springer
13 years 11 months ago
2007
Springer
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
BPM
2009
Springer
14 years 4 days ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
GECCO
2009
Springer
13 years 3 months ago
2009
Springer
Public data sharing is utilized in a number of businesses to facilitate the exchange of information. Privacy constraints are usually enforced to prevent unwanted inference of info...
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...