Pontus: A Memory-Efficient and High-Accuracy Approach for Persistence-Based Item Lookup in High-Velocity Data Streams.
Weihe Li|Zukai Li|Beyza Bütün|Alec F. Diallo|Marco Fiore|Paul Patras
| Anthology ID: | DBLP:conf/www/LiLBD0P25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1783-1794 |
| URL: | https://doi.org/10.1145/3696410.3714670 |
| DOI: | https://doi.org/10.1145/3696410.3714670 |
| DBLP: | conf/www/LiLBD0P25 |
| BibTeX: |
@inproceedings{li-2025-pontus,
author = {Weihe Li and
Zukai Li and
Beyza B\"{u}t\"{u}n and
Alec F. Diallo and
Marco Fiore and
Paul Patras},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Pontus: A Memory-Efficient and High-Accuracy Approach for Persistence-Based Item Lookup in High-Velocity Data Streams}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {1783--1794},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714670},
doi = {https://doi.org/10.1145/3696410.3714670}
}