Makoto Imamura, Takaaki Nakamura. A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif. In Guihai Chen, Latifur Khan, Xiaofeng Gao 0001, Meikang Qiu, Witold Pedrycz, Xindong Wu 0001, editors, IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. pages 1067-1072, IEEE, 2023. [doi]
@inproceedings{ImamuraN23-0,
title = {A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif},
author = {Makoto Imamura and Takaaki Nakamura},
year = {2023},
doi = {10.1109/ICDM58522.2023.00125},
url = {https://doi.org/10.1109/ICDM58522.2023.00125},
researchr = {https://researchr.org/publication/ImamuraN23-0},
cites = {0},
citedby = {0},
pages = {1067-1072},
booktitle = {IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023},
editor = {Guihai Chen and Latifur Khan and Xiaofeng Gao 0001 and Meikang Qiu and Witold Pedrycz and Xindong Wu 0001},
publisher = {IEEE},
isbn = {979-8-3503-0788-7},
}