A Decade of Progress in Indexing and Mining Large Time Series Databases
Summary: Tutorial surveying a decade of database advances in indexing and mining massive time series. Traces extensions of Faloutsos et al.’s seminal subsequence-matching framework across scientific, industrial, and biomedical workloads. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Eamonn Keogh (University of California Riverside)
BibTeX Citation
@article{keogh_vldb06,
title = {{A Decade of Progress in Indexing and Mining Large Time Series Databases}},
author = {Keogh, Eamonn},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {1268},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 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 |
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