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» Using Dynamic Time Warping to Find Patterns in Time Series
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KDD
1994
ACM
407views Data Mining» more  KDD 1994»
12 years 4 months ago
Using Dynamic Time Warping to Find Patterns in Time Series
Donald J. Berndt, James Clifford
ICCS
2007
Springer
12 years 6 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
MUE
2007
IEEE
190views Multimedia» more  MUE 2007»
12 years 6 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
ICDE
2007
IEEE
183views Database» more  ICDE 2007»
13 years 1 months ago
SpADe: On Shape-based Pattern Detection in Streaming Time Series
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
Yueguo Chen, Mario A. Nascimento, Beng Chin Ooi, A...
IJCNN
2008
IEEE
12 years 6 months ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
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