67 search results - page 5 / 14 » Continuous subspace clustering in streaming time series |
ISMIS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
RECOMB
2002
Springer
14 years 7 months ago
2002
Springer
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
APWEB
2010
Springer
13 years 10 months ago
2010
Springer
This paper investigates the problem of processing multiple continuous queries over RFID streaming data in RFID middleware. RFID middleware collects and filters RFID sensing data wh...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...