A Generic Framework for Efficient and Effective Subsequence Retrieval
Summary: Generic framework for all-pairs subsequence retrieval in time series and strings; yields subsequence pairs when the distance satisfies consistency. It introduces Reference Net, a linear-space metric index for the framework; enables scalable retrieval. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haohan Zhu (Boston University)
- 2. George Kollios (Boston University)
- 3. Vassilis Athitsos (University of Texas)
BibTeX Citation
@article{zhu_vldb12,
title = {{A Generic Framework for Efficient and Effective Subsequence Retrieval}},
author = {Zhu, Haohan and Kollios, George and Athitsos, Vassilis},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {11},
pages = {1579--1590},
doi = {10.14778/2350229.2350256},
url = {https://doi.org/10.14778/2350229.2350256},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,780 | Discovering Longest-lasting Correlation in Sequence Databases | 2013 | VLDB | 5.7766335e-05 |
| 10,629 | MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance | 2026 | VLDB | 5.093636e-05 |
| 12,283 | RCSI: Scalable similarity search in thousand(s) of genomes | 2013 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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