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» Online summarization of dynamic time series data
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ICCS
2007
Springer
13 years 11 months ago
Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data
Shape averaging or signal averaging of time series data is one of the prevalent subroutines in data mining tasks, where Dynamic Time Warping distance measure (DTW) is known to work...
Vit Niennattrakul, Chotirat Ann Ratanamahatana
KDD
1994
ACM
407views Data Mining» more  KDD 1994»
13 years 9 months ago
Using Dynamic Time Warping to Find Patterns in Time Series
Donald J. Berndt, James Clifford
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 5 months ago
Detecting time series motifs under uniform scaling
Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule-discovery, novelty-detection...
Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bil...
ICDE
2010
IEEE
188views Database» more  ICDE 2010»
14 years 5 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
MUE
2007
IEEE
190views Multimedia» more  MUE 2007»
13 years 11 months ago
On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
After the generation of multimedia data turned digital, an explosion of interest in their data storage, retrieval, and processing has drastically increased. This includes videos, ...
Vit Niennattrakul, Chotirat Ann Ratanamahatana