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Izvorni znanstveni članak
https://doi.org/10.20532/cit.2018.1004217

A Weighted DTW Approach for Similarity Matching over Uncertain Time Series

Liangli Zuo ; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Li Yan   ORCID icon orcid.org/0000-0002-1881-3128 ; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Puni tekst: engleski, pdf (500 KB) str. 179-190 preuzimanja: 65* citiraj
APA 6th Edition
Zuo, L. i Yan, L. (2018). A Weighted DTW Approach for Similarity Matching over Uncertain Time Series . Journal of computing and information technology, 26 (3), 179-190. https://doi.org/10.20532/cit.2018.1004217
MLA 8th Edition
Zuo, Liangli i Li Yan. "A Weighted DTW Approach for Similarity Matching over Uncertain Time Series ." Journal of computing and information technology, vol. 26, br. 3, 2018, str. 179-190. https://doi.org/10.20532/cit.2018.1004217. Citirano 16.06.2019.
Chicago 17th Edition
Zuo, Liangli i Li Yan. "A Weighted DTW Approach for Similarity Matching over Uncertain Time Series ." Journal of computing and information technology 26, br. 3 (2018): 179-190. https://doi.org/10.20532/cit.2018.1004217
Harvard
Zuo, L., i Yan, L. (2018). 'A Weighted DTW Approach for Similarity Matching over Uncertain Time Series ', Journal of computing and information technology, 26(3), str. 179-190. doi: https://doi.org/10.20532/cit.2018.1004217
Vancouver
Zuo L, Yan L. A Weighted DTW Approach for Similarity Matching over Uncertain Time Series . Journal of computing and information technology [Internet]. 2018 [pristupljeno 16.06.2019.];26(3):179-190. doi: https://doi.org/10.20532/cit.2018.1004217
IEEE
L. Zuo i L. Yan, "A Weighted DTW Approach for Similarity Matching over Uncertain Time Series ", Journal of computing and information technology, vol.26, br. 3, str. 179-190, 2018. [Online]. doi: https://doi.org/10.20532/cit.2018.1004217

Sažetak
To measure uncertain time series similarity effectively and efficiently, in this paper, we propose a weighted DTW distance-based approach for uncertain time series with the expected distance. We introduce a weight function to assign weights to a reference point and a testing point. With this function and the WDTW, the accuracy of calculating uncertain time series similarity can be improved. Also, to reduce the storage space and time-consuming, we extend the lower bound function LB_Keogh for DTW into ULB_Keogh for our approach.

Ključne riječi
uncertain time series, similarity matching, dynamic time warping (DTW), weighted DTW

Hrčak ID: 213690

URI
https://hrcak.srce.hr/213690

Posjeta: 98 *