Bubble Sketch: A High-performance and Memory-efficient Sketch for Finding Top-k Items in Data Streams.
Lu Cao|Qilong Shi|Yuxi Liu|Hanyue Zheng|Yao Xin|Wenjun Li|Tong Yang|Yangyang Wang|Yang Xu|Weizhe Zhang|Mingwei Xu
| Anthology ID: | DBLP:conf/cikm/CaoSLZXL000ZX24 |
|---|---|
| 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: | 3653-3657 |
| URL: | https://doi.org/10.1145/3627673.3679882 |
| DOI: | https://doi.org/10.1145/3627673.3679882 |
| DBLP: | conf/cikm/CaoSLZXL000ZX24 |
| BibTeX: |
@inproceedings{cao-2024-bubble,
author = {Lu Cao and
Qilong Shi and
Yuxi Liu and
Hanyue Zheng and
Yao Xin and
Wenjun Li and
Tong Yang and
Yangyang Wang and
Yang Xu and
Weizhe Zhang and
Mingwei Xu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Bubble Sketch: A High-performance and Memory-efficient Sketch for Finding Top-k Items in Data Streams}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3653--3657},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679882},
doi = {https://doi.org/10.1145/3627673.3679882}
}