577 search results - page 27 / 116 » Visual Mining of Spatial Time Series Data |
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
FSKD
2005
Springer
14 years 1 months ago
2005
Springer
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...