An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.
Meng Li|Lu Yu|Ya-Lin Zhang|Xiaoguang Huang|Qitao Shi|Qing Cui|Xinxing Yang|Longfei Li|Wei Zhu|Yanming Fang|Jun Zhou
| Anthology ID: | DBLP:conf/cikm/LiYZHSCYLZFZ22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3252-3261 |
| URL: | https://doi.org/10.1145/3511808.3557088 |
| DOI: | https://doi.org/10.1145/3511808.3557088 |
| DBLP: | conf/cikm/LiYZHSCYLZFZ22 |
| BibTeX: |
@inproceedings{li-2022-adaptive,
author = {Meng Li and
Lu Yu and
Ya-Lin Zhang and
Xiaoguang Huang and
Qitao Shi and
Qing Cui and
Xinxing Yang and
Longfei Li and
Wei Zhu and
Yanming Fang and
Jun Zhou},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {3252--3261},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557088},
doi = {https://doi.org/10.1145/3511808.3557088}
}