Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices.

Zheng Huang|Hao Hao|Lun Du


Anthology ID:DBLP:conf/wsdm/HuangHD25
Volume:Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
Year:2025
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:1005-1007
URL:https://doi.org/10.1145/3701551.3703479
DOI:https://doi.org/10.1145/3701551.3703479
DBLP:conf/wsdm/HuangHD25
BibTeX:
@inproceedings{huang-2025-exploring, author = {Zheng Huang and Hao Hao and Lun Du}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {1005--1007}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3703479}, doi = {https://doi.org/10.1145/3701551.3703479} }