369 search results - page 24 / 74 » Bayesian multiscale analysis for time series data |
IDEAL
2007
Springer
14 years 1 months ago
2007
Springer
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
TIT
2011
13 years 2 months ago
2011
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
ICCV
2009
IEEE
15 years 18 days ago
2009
IEEE
We use concepts from chaos theory in order to model
nonlinear dynamical systems that exhibit deterministic behavior.
Observed time series from such a system can be embedded
into...
ICDE
1999
IEEE
14 years 9 months ago
1999
IEEE
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is an interesting data mining problem. Previous studies on periodicity search main...
KDD
1998
ACM
13 years 12 months ago
1998
ACM
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...