135 search results - page 4 / 27 » Clustering Problems on Sliding Windows |
PODS
2006
ACM
14 years 10 months ago
2006
ACM
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
PODS
2009
ACM
14 years 10 months ago
2009
ACM
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Many computer vision problems rely on computing histogram-based objective functions with a sliding window. A main limiting factor is the high computational cost. Existing computat...
STACS
2007
Springer
14 years 3 months ago
2007
Springer
We consider the problem of maintaining aggregates over recent elements of a massive data stream. Motivated by applications involving network data, we consider asynchronous data str...