Research on dynamic time warping multivariate time series similarity matching based on shape feature and inclination angle-Reference-Cited by-同舟云学术

Research on dynamic time warping multivariate time series similarity matching based on shape feature and inclination angle

Published:2016-08-17 Issue:1 Volume:5 Page:
ISSN:2192-113X
Container-title:Journal of Cloud Computing
language:en
Short-container-title:J Cloud Comp

Author:

Cao Danyang^ORCID,Liu Jie

Funder

Beijing Natural Science Foundation

Fund of North China University of Technology

National Natural Science Foundation of China

training project for outstanding young teachers of North China University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1186/s13677-016-0062-z.pdf

Reference24 articles.

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2. Khan Z, Anjum A, Soomro K, Tahir MA (2015) Towards cloud based big data analytics for smart future cities. J Cloud Comput 4(1):1

3. Prema V, Uma Rao K (2015) Time series decomposition model for accurate wind speed forecast. Renewables Wind Water Solar 2–18:2015

4. Hai-lin LI (2015) Feature representation of multivariate time series based on correlation among variables. Control Decis 30:441–446

5. Yan-yan Z, Rong-cong X, Xiao-yun C (2006) Time series piecewise linear representation based on slope extract edge point. Comput Sci 33:139–142

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