Time series representation and similarity based on local autopatterns-Reference-Cited by-同舟云学术

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Time series representation and similarity based on local autopatterns

Published:2015-07-07 Issue:2 Volume:30 Page:476-509
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Baydogan Mustafa Gokce,Runger George

Funder

Scientic and Technological Research Council of Turkey (TUBITAK)

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10618-015-0425-y.pdf

Reference55 articles.

1. Akl A, Valaee S (2010) Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, compressive sensing. In: 2010 IEEE International conference on acoustics speech and signal processing (ICASSP), pp 2270–2273

2. Bagnall A, Davis LM, Hills J, Lines J (2012) Transformation based ensembles for time series classification. In: SDM, vol. 12. SIAM, pp 307–318

3. Batista G, Keogh E, Tataw O, de Souza V (2014) Cid: an efficient complexity-invariant distance for time series. Data Min Knowl Discov 28(3):634–669. doi: 10.1007/s10618-013-0312-3

4. Baydogan MG (2013) Learned pattern similarity (LPS). homepage: www.mustafabaydogan.com/learned-pattern-similarity-lps.html

5. Baydogan MG, Runger G (2014) Learning a symbolic representation for multivariate time series classification. Data Min Knowl Discov pp 1–23. doi: 10.1007/s10618-014-0349-y

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