Discovering Longest-lasting Correlation in Sequence Databases
Summary: Discovering the longest-lasting highly correlated subsequences in sequence databases without a predefined query length. Introduces a space-constrained index with intra- and inter-object grouping that bounds correlations for subsequences of similar length and offset, enabling a normalized distance metric and scalable evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuhong Li (University of Macau)
- 2. Leong Hou U (University of Macau)
- 3. Man Lung Yiu (Hong Kong Polytechnic University)
- 4. Zhiguo Gong (University of Macau)
BibTeX Citation
@article{li_vldb13,
title = {{Discovering Longest-lasting Correlation in Sequence Databases}},
author = {Li, Yuhong and U, Leong Hou and Yiu, Man Lung and Gong, Zhiguo},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {14},
pages = {1666--1677},
doi = {10.14778/2535568.244},
url = {https://doi.org/10.14778/2535568.244},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,901 | NLC: Search Correlated Window Pairs on Long Time Series | 2022 | VLDB | 5.3492083e-05 |
| 8,959 | TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications | 2023 | VLDB | 5.3444909e-05 |
| 11,416 | Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation | 2023 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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