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Mean-Ebinning a novel approach to solve the problem of sketching time-series data (TSD). The Mean-EBinning automatically specifies the appropriate bin size (𝑛) for each bin in a window (W).
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Mean-EBinning was implemented using Python 3.9.2.
T. Phungtua-eng, Y. Yamamoto, and S. Sako. 2023. Elastic Data Binning for Transient Pattern Analysis in Time-Domain Astrophysics. In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23), 342 - 349.
- If you have any more questions or need further suggestions, don't hesitate to email me.
- Elastic Data Binning for Transient Pattern Analysis in Time-Domain Astrophysics
- dataset and supplementary material
- Our publication has been accepted for presentation at the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23).
- If you plan to use or apply our source code, please cite our paper published in the Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23).
@inproceedings{10.1145/3555776.3577606,
author = {Phungtua-Eng, Thanapol and Yamamoto, Yoshitaka and Sako, Shigeyuki},
title = {Elastic Data Binning for Transient Pattern Analysis in Time-Domain Astrophysics},
year = {2023},
isbn = {9781450395175},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3555776.3577606},
doi = {10.1145/3555776.3577606},
booktitle = {Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing},
pages = {342–349},
numpages = {8},
location = {Tallinn, Estonia},
series = {SAC '23}
}
- The dataset provided was obtained from the Tomo-e Gozen project of the Kiso Schmidt telescope. For more detail, visit https://tomoe.mtk.ioa.s.u-tokyo.ac.jp/
- We are grateful to M. Aizawa and K. Kashiyama for their useful suggestions and providing the LCs dataset from survey for Mdwarfs flares using Tomo-e Gozen on Kiso Schmidt telescope. https://doi.org/10.1093/pasj/psac056