287 search results - page 10 / 58 » Algorithms for time series knowledge mining |
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...
112
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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...
100
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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...
SDM
2010
SIAM
15 years 1 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 ...
95
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...