109 search results - page 3 / 22 » Rule Discovery from Time Series |
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
IEAAIE
2005
Springer
14 years 29 days ago
2005
Springer
In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Re...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
SDM
2010
SIAM
13 years 5 months ago
2010
SIAM
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiog...