Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection.
Erick Draayer|Huiping Cao|Yifan Hao
| Anthology ID: | DBLP:conf/cikm/DraayerCH21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2989-2993 |
| URL: | https://doi.org/10.1145/3459637.3482167 |
| DOI: | https://doi.org/10.1145/3459637.3482167 |
| DBLP: | conf/cikm/DraayerCH21 |
| BibTeX: |
@inproceedings{draayer-2021-reevaluating,
author = {Erick Draayer and
Huiping Cao and
Yifan Hao},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {2989--2993},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482167},
doi = {https://doi.org/10.1145/3459637.3482167}
}