253 search results - page 10 / 51 » Fast algorithms for time series mining |
EDBT
2010
ACM
15 years 6 months ago
2010
ACM
More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data ...
SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
Finding discords in time series database is an important problem in a great variety of applications, such as space shuttle telemetry, mechanical industry, biomedicine, and financ...
104
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SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
117
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SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
109
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ICDM
2003
IEEE
2003
IEEE
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
15 years 5 months ago
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...