Fast and Multi-aspect Mining of Complex Time-stamped Event Streams.
Kota Nakamura|Yasuko Matsubara|Koki Kawabata|Yuhei Umeda|Yuichiro Wada|Yasushi Sakurai
| Anthology ID: | DBLP:conf/www/NakamuraMKUWS23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1638-1649 |
| URL: | https://doi.org/10.1145/3543507.3583370 |
| DOI: | https://doi.org/10.1145/3543507.3583370 |
| DBLP: | conf/www/NakamuraMKUWS23 |
| BibTeX: |
@inproceedings{nakamura-2023-fast,
author = {Kota Nakamura and
Yasuko Matsubara and
Koki Kawabata and
Yuhei Umeda and
Yuichiro Wada and
Yasushi Sakurai},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Fast and Multi-aspect Mining of Complex Time-stamped Event Streams}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {1638--1649},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583370},
doi = {https://doi.org/10.1145/3543507.3583370}
}