25041 search results - page 259 / 5009 » Algorithms for Clustering Data |
130
Voted
FSKD
2008
Springer
15 years 6 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...
149
click to vote
ICDM
2009
IEEE
15 years 2 months ago
2009
IEEE
Mining Trajectory Databases (TD) has recently gained great interest due to the popularity of tracking devices. On the other hand, the inherent presence of uncertainty in TD (e.g.,...
237
click to vote
VLDB
2008
ACM
16 years 5 months ago
2008
ACM
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
168
click to vote
CORR
2010
Springer
15 years 5 months ago
2010
Springer
In P2P systems, large volumes of data are declustered naturally across a large number of peers. But it is very difficult to control the initial data distribution because every use...
121
click to vote
ICDM
2009
IEEE
15 years 11 months ago
2009
IEEE
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...