15 search results - page 2 / 3 » Tracking clusters in evolving data streams over sliding wind... |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
FLAIRS
2001
13 years 6 months ago
2001
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
ADBIS
2009
Springer
13 years 11 months ago
2009
Springer
Continuous queries applied over nonterminating data streams usually specify windows in order to obtain an evolving –yet restricted– set of tuples and thus provide timely result...
KDD
2009
ACM
13 years 9 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
ISAAC
2004
Springer
13 years 10 months ago
2004
Springer
We propose a space-efficient scheme for summarizing multidimensional data streams. Our sketch can be used to solve spatial versions of several classical data stream queries effici...