Conference proceeding
Reproducibility Report for ACM SIGMOD 2025 Paper: 'A Structured Study of Multivariate Time-Series Distance Measures'
Reproducibility Reports of the 2025 International Conference on Management of Data, pp.143-143
ACM Conferences
SIGMOD/PODS '25:International Conference on Management of Data
02/23/2026
DOI: 10.1145/3785021.3788012
Appears in UI Libraries Support Open Access
Abstract
This reproducibility report provides AE details for the paper ''A Structured Study of Multivariate Time-Series Distance Measures'', which is accepted at the SIGMOD 2025 conference. In all, the code provided by the authors is well-arranged, and the main results are reproduced as expected.
Details
- Title: Subtitle
- Reproducibility Report for ACM SIGMOD 2025 Paper: 'A Structured Study of Multivariate Time-Series Distance Measures'
- Creators
- Yafan Huang - University of Iowa, Computer Science
- Resource Type
- Conference proceeding
- Publication Details
- Reproducibility Reports of the 2025 International Conference on Management of Data, pp.143-143
- Conference
- SIGMOD/PODS '25:International Conference on Management of Data
- Series
- ACM Conferences
- DOI
- 10.1145/3785021.3788012
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Language
- English
- Date published
- 02/23/2026
- Academic Unit
- Computer Science
- Record Identifier
- 9985166476102771
Metrics
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