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» Scaling up dynamic time warping for datamining applications
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KDD
2000
ACM
168views Data Mining» more  KDD 2000»
12 years 5 months ago
Scaling up dynamic time warping for datamining applications
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
Eamonn J. Keogh, Michael J. Pazzani
PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
12 years 6 months ago
Scaling up Dynamic Time Warping to Massive Dataset
Eamonn J. Keogh, Michael J. Pazzani
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
10 years 4 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
ICPR
2006
IEEE
13 years 2 months ago
Affine Invariant Dynamic Time Warping and its Application to Online Rotated Handwriting Recognition
Dynamic Time Warping (DTW) has been widely used to align and compare two sequences. DTW can efficiently deal with local warp or deformation between sequences. However, it can'...
Yu Qiao, Makoto Yasuhara
ASPDAC
1999
ACM
117views Hardware» more  ASPDAC 1999»
12 years 6 months ago
Analysing Forced Oscillators with Multiple Time Scales
We present a novel formulation, called the WaMPDE, for solving systems with forced autonomous components. An important feature of the WaMPDE is its ability to capture frequency mo...
Onuttom Narayan, Jaijeet S. Roychowdhury
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