KMCT: k-Means Clustering of Trajectories Efficiently in Location-Based Services.
Yuanjun Liu|Guanfeng Liu|Ee-Peng Lim|Shiting Wen|Viet-An Nguyen|Qingzhi Ma|Lei Zhao|Zhixu Li|Aixin Sun|An Liu|Ee-Peng Lim|Shiting Wen|Lei Zhao|Viet-An Nguyen|Aixin Sun|An Liu
| Anthology ID: | DBLP:conf/cikm/Liu0MLW0024 |
|---|---|
| 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: | 1523-1532 |
| URL: | https://doi.org/10.1145/3627673.3679848 |
| DOI: | https://doi.org/10.1145/3627673.3679848 |
| DBLP: | conf/cikm/Liu0MLW0024 |
| BibTeX: |
@inproceedings{liu-2024-kmct,
author = {Yuanjun Liu and
Guanfeng Liu and
Ee-Peng Lim and
Shiting Wen and
Viet-An Nguyen and
Qingzhi Ma and
Lei Zhao and
Zhixu Li and
Aixin Sun and
An Liu and
Ee-Peng Lim and
Shiting Wen and
Lei Zhao and
Viet-An Nguyen and
Aixin Sun and
An Liu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{KMCT: k-Means Clustering of Trajectories Efficiently in Location-Based Services}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1523--1532},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679848},
doi = {https://doi.org/10.1145/3627673.3679848}
}