1757 search results - page 19 / 352 » Concepts From Time Series |
101
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AIMDM
1999
Springer
15 years 1 months ago
1999
Springer
This paper describes an approach to the detection of events in complex, multi-channel, high frequency data. The example used is that of detecting the re-siting of a transcutaneous ...
ESANN
2004
14 years 11 months ago
2004
One way to contrast the behaviour of different algorithms in the field of timeseries forecasting is to compare the prediction error using a benchmark problem. Another interesting ...
81
Voted
WAIM
2010
Springer
14 years 7 months ago
2010
Springer
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
88
Voted
SDM
2010
SIAM
14 years 11 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 ...
101
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ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...