COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data.
Ting-Yun Ou|Ching Chang|Wen-Chih Peng
| Anthology ID: | DBLP:conf/cikm/Ou0P24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4803-4810 |
| URL: | https://doi.org/10.1145/3627673.3680083 |
| DOI: | https://doi.org/10.1145/3627673.3680083 |
| DBLP: | conf/cikm/Ou0P24 |
| BibTeX: |
@inproceedings{ou-2024-coke,
author = {Ting-Yun Ou and
Ching Chang and
Wen-Chih Peng},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4803--4810},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680083},
doi = {https://doi.org/10.1145/3627673.3680083}
}