Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures
Summary: Extensive empirical comparison of time-series representations and similarity measures, re-implementing eight representations and nine distance measures across 38 datasets. Unified validation; some literature claims may be optimistic; domain affects effectiveness. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hui Ding (Northwestern University)
- 2. Goce Trajcevski (Northwestern University)
- 3. Peter Scheuermann (Northwestern University)
- 4. Xiaoyue Wang (University of California Riverside)
- 5. Eamonn Keogh (University of California Riverside)
BibTeX Citation
@article{ding_vldb08,
title = {{Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures}},
author = {Ding, Hui and Trajcevski, Goce and Scheuermann, Peter and Wang, Xiaoyue and Keogh, Eamonn},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {1542--1552},
doi = {10.14778/1454159.1454226},
url = {https://doi.org/10.14778/1454159.1454226},
year = {2008}
}
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