NLC: Search Correlated Window Pairs on Long Time Series
Summary: NLC enables non-linear correlation search for long time-series window pairs. Window shrinking/expanding quickly yields high-quality candidates; nested 1D refinement handles unaligned and variable-length windows; empirical studies on synthetic and real data show efficiency and effectiveness. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shuye Pan (Fudan University)
- 2. Peng Wang (Fudan University)
- 3. Chen Wang (Tsinghua University)
- 4. Wei Wang (Fudan University)
- 5. Jianmin Wang (Tsinghua University)
BibTeX Citation
@article{pan_vldb22,
title = {{NLC: Search Correlated Window Pairs on Long Time Series}},
author = {Pan, Shuye and Wang, Peng and Wang, Chen and Wang, Wei and Wang, Jianmin},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {7},
pages = {1363--1375},
doi = {10.14778/3523210.3523215},
url = {https://doi.org/10.14778/3523210.3523215},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,421 | Raising the ClaSS of Streaming Time Series Segmentation | 2024 | VLDB | 5.6225905e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 663 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00015174751 |
| 739 | Finding Related Tables | 2012 | SIGMOD | 0.0001448231 |
| 1,273 | Fusing Data with Correlations | 2014 | SIGMOD | 0.00011384191 |
| 6,780 | Discovering Longest-lasting Correlation in Sequence Databases | 2013 | VLDB | 5.7766335e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,215 | CURLER: Finding and Visualizing Nonlinear Correlation Clusters | 2005 | SIGMOD |
| 2 | 11,107 | Representative Time Series Discovery for Data Exploration | 2025 | VLDB |
| 3 | 8,925 | Multivariate Correlations Discovery in Static and Streaming Data | 2022 | VLDB |
| 4 | 1,764 | Fast Approximate Correlation for Massive Time-series Data | 2010 | SIGMOD |
| 5 | 8,107 | Anticipatory DTW for Efficient Similarity Search in Time Series Databases | 2009 | VLDB |
| 6 | 10,069 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD |
| 7 | 5,043 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB |
| 8 | 6,517 | Interactive Time Series Exploration Powered by the Marriage of Similarity Distances | 2017 | VLDB |
| 9 | 6,780 | Discovering Longest-lasting Correlation in Sequence Databases | 2013 | VLDB |
| 10 | 11,416 | Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation | 2023 | SIGMOD |