Interactive Time Series Exploration Powered by the Marriage of Similarity Distances
Summary: ONEX enables interactive exploration of variable-length, time-warped series via one-time preprocessing. It clusters segments with cheap Euclidean distances, then applies DTW only to a compact knowledge base, avoiding infeasible pairwise encoding while retaining accuracy and improving response time. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rodica Neamtu (Worcester Polytechnic Institute)
- 2. Ramoza Ahsan (Worcester Polytechnic Institute)
- 3. Elke Rundensteiner (Worcester Polytechnic Institute)
- 4. Gabor Sarkozy (Worcester Polytechnic Institute)
BibTeX Citation
@article{neamtu_vldb17,
title = {{Interactive Time Series Exploration Powered by the Marriage of Similarity Distances}},
author = {Neamtu, Rodica and Ahsan, Ramoza and Rundensteiner, Elke and Sarkozy, Gabor},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {3},
pages = {169--182},
doi = {10.14778/3149193.3149200},
url = {https://doi.org/10.14778/3149193.3149200},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,453 | Interactive Time Series Analytics Powered by ONEX | 2017 | SIGMOD | 6.5932148e-05 |
| 5,444 | Pigeonring: A Principle for Faster Thresholded Similarity Search | 2019 | VLDB | 6.1268526e-05 |
| 5,569 | Exploring Change – A New Dimension of Data Analytics | 2019 | VLDB | 6.0813343e-05 |
| 8,026 | TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications | 2023 | VLDB | 5.4045222e-05 |
| 11,634 | DeepSketch: A Query Sketching Interface for Deep Time Series Similarity Search | 2024 | VLDB | 4.9793485e-05 |
| 12,231 | Vocalizing Large Time Series Efficiently | 2018 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 42 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00045773967 |
| 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 |
| 478 | Fast Time Sequence Indexing for Arbitrary Lp Norms | 2000 | VLDB | 0.00017631293 |
| 915 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013099703 |
| 3,507 | Approximate Embedding-Based Subsequence Matching of Time Series | 2008 | SIGMOD | 7.2494536e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 385 | Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases | 1995 | VLDB |
| 2 | 7,442 | Set-based Similarity Search for Time Series | 2016 | SIGMOD |
| 3 | 3,507 | Approximate Embedding-Based Subsequence Matching of Time Series | 2008 | SIGMOD |
| 4 | 3,333 | FTW: Fast Similarity Search under the Time Warping Distance | 2005 | PODS |
| 5 | 915 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB |
| 6 | 2,494 | An Efficient and Accurate Method for Evaluating Time Series Similarity | 2007 | SIGMOD |
| 7 | 613 | Exact Indexing of Dynamic Time Warping | 2002 | VLDB |
| 8 | 5,270 | Online Event-driven Subsequence Matching over Financial Data Streams | 2004 | SIGMOD |
| 9 | 8,286 | Anticipatory DTW for Efficient Similarity Search in Time Series Databases | 2009 | VLDB |
| 10 | 4,453 | Interactive Time Series Analytics Powered by ONEX | 2017 | SIGMOD |