Sparse Dynamic Time Warping-Reference-Cited by-同舟云学术

Sparse Dynamic Time Warping

Published:2017 Issue: Volume: Page:163-175
ISSN:0302-9743
Container-title:Machine Learning and Data Mining in Pattern Recognition
language:
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Author:

Hwang Youngha,Gelfand Saul B.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-62416-7_12

Reference15 articles.

1. Assent, I., Wichterich, M., Krieger, R., Kremer, H., Seidl, T.: Anticipatory DTW for efficient similarity search in time series databases. Proc. VLDB Endowment 2(1), 826–837 (2009)

2. Berndt, D.J., Clifford, J.: Using dynamic time warping to find patterns in time series. In: Knowledge Discovery in Databases Workshop, Seattle, WA, vol. 10, pp. 359–370 (1994)

3. Esling, P., Agon, C.: Time-series data mining. ACM Comput. Surv. (CSUR) 45(1), 12 (2012)

4. Tak-chung, F.: A review on time series data mining. Eng. Appl. Artif. Intell. 24(1), 164–181 (2011)

5. Grabocka, J., Nanopoulos, A., Schmidt-Thieme, L.: Classification of sparse time series via supervised matrix factorization. In: AAAI (2012)

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