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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 6
  3. International Journal of Machine Learning and Cybernetics : Volume 6, Issue 1, February 2015
  4. On-line and dynamic time warping for time series data mining
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 6, December 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 5, October 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 4, August 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 3, June 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 2, April 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 1, February 2015
Period-adding and spiral organization of the periodicity in a Hopfield neural network
Fuzzy principal-agent model for optimal supplier switching with asymmetric information
Illumination normalization using fuzzy filter in DCT domain for face recognition
Image enhancement based on fractional directional derivative
A memetic-inspired harmony search method in optimal wind generator design
A majorization–minimization weighted soft thresholding algorithm for weighted nuclear norm minimization
Gujrati character recognition using weighted k-NN and Mean χ $^{2}$ distance measure
Pairwise-similarity-based instance reduction for efficient instance selection in multiple-instance learning
Possibilistic biclustering algorithm for discovering value-coherent overlapping δ-biclusters
A new privacy-preserving proximal support vector machine for classification of vertically partitioned data
Considering cross-cultural context in the automatic recognition of emotions
An experimental study on stability and generalization of extreme learning machines
Subjectivity and awareness
On-line and dynamic time warping for time series data mining
A fast algorithm for training support vector regression via smoothed primal function minimization
Efficient handover in railway networking via named data
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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On-line and dynamic time warping for time series data mining

Content Provider SpringerLink
Author Li, Hailin
Copyright Year 2014
Abstract Dynamic time warping (DTW) is a robust method used to measure similarity of time series. To speed up the calculation of DTW, an on-line and dynamic time warping is proposed to the field of time series data mining. A sliding window is used to segment a long time series into several short subsequences, and an efficient DTW proposed to measure the similarity of each pair of short subsequences. Meanwhile, a forward factor is proposed to set an overlap warping path for the two adjacent subsequences, which makes the last warping path be close to the best warping path between two time series. The results of numerical experiments demonstrate that, in contrast to DTW, the proposed approach comparing to DTW measures the similarity of time series fast and validly, which improves the performance of the algorithm applied to the field of time series data mining.
Starting Page 145
Ending Page 153
Page Count 9
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 6
Issue Number 1
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2014-04-23
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Dynamic time warping Similarity measure Time series data mining Online measurement Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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