Anticipatory DTW for Efficient Similarity Search in Time Series Databases
Summary: Anticipatory DTW reuses filter-step info during refinement to prune candidates earlier. It leverages state-of-the-art DTW lower bounds with negligible overhead, no false dismissals, and scales to multivariate, long series and wide bands. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ira Assent (Aalborg University)
- 2. Marc Wichterich (Rheinisch-Westfaelische Technische Hochschule Aachen)
- 3. Ralph Krieger (Rheinisch-Westfaelische Technische Hochschule Aachen)
- 4. Hardy Kremer (Rheinisch-Westfaelische Technische Hochschule Aachen)
- 5. Thomas Seidl (Rheinisch-Westfaelische Technische Hochschule Aachen)
BibTeX Citation
@article{assent_vldb09,
title = {{Anticipatory DTW for Efficient Similarity Search in Time Series Databases}},
author = {Assent, Ira and Wichterich, Marc and Krieger, Ralph and Kremer, Hardy and Seidl, Thomas},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687627.1687721},
url = {https://doi.org/10.14778/1687627.1687721},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,006 | A Generic Framework for Efficient and Effective Subsequence Retrieval | 2012 | VLDB | 5.6234186e-05 |
| 8,186 | A New Approach for Processing Ranked Subsequence Matching Based on Ranked Union | 2011 | SIGMOD | 5.3814143e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 193 | Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases | 2001 | SIGMOD | 0.00025648171 |
| 306 | On The Marriage of Lp-norms and Edit Distance | 2004 | VLDB | 0.00021575844 |
| 613 | Exact Indexing of Dynamic Time Warping | 2002 | VLDB | 0.00015570505 |
| 826 | Optimal Multi-Step k-Nearest Neighbor Search | 1998 | SIGMOD | 0.0001363793 |
| 915 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013099703 |
| 1,070 | Warping Indexes with Envelope Transforms for Query by Humming | 2003 | SIGMOD | 0.00012174775 |
| 3,333 | FTW: Fast Similarity Search under the Time Warping Distance | 2005 | PODS | 7.4153527e-05 |
| 3,507 | Approximate Embedding-Based Subsequence Matching of Time Series | 2008 | SIGMOD | 7.2494536e-05 |
| 7,380 | LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures | 2006 | VLDB | 5.5393809e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,442 | Set-based Similarity Search for Time Series | 2016 | SIGMOD |
| 2 | 385 | Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases | 1995 | VLDB |
| 3 | 829 | Similarity-Based Queries for Time Series Data | 1997 | SIGMOD |
| 4 | 12,620 | sDTW: Computing DTW Distances using Locally Relevant Constraints based on Salient Feature Alignments | 2012 | VLDB |
| 5 | 6,890 | On Efficiently Searching Trajectories and Archival Data for Historical Similarities | 2008 | VLDB |
| 6 | 11,327 | FSMDTW: A Fast Index-free Subsequence Matching Algorithm for Dynamic Time Warping | 2025 | VLDB |
| 7 | 3,507 | Approximate Embedding-Based Subsequence Matching of Time Series | 2008 | SIGMOD |
| 8 | 613 | Exact Indexing of Dynamic Time Warping | 2002 | VLDB |
| 9 | 5,722 | Ranked Subsequence Matching in Time-Series Databases | 2007 | VLDB |
| 10 | 3,333 | FTW: Fast Similarity Search under the Time Warping Distance | 2005 | PODS |