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} }