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VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases

Summary: VizTree is a scalable time-series visualization tool for both mining archival data and monitoring live telemetry in massive databases. Uniquely unifying offline exploration with online workloads, it enables scalable, visualization-driven data mining for time-series at scale. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9304
Venue
VLDB
Year
2004
Pagerank
7.4898575e-05
Overall Rank
3,359 | 76.96%
DOI
10.1016/B978-012088469-8.50124-8

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lin_vldb04,
        title = {{VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases}},
        author = {Lin, Jessica and Keogh, Eamonn and Lonardi, Stefano and Lankford, Jeffrey P. and Nystrom, Daonna M.},
        journal = {PVLDB},
        series = {{VLDB} '04},
        pages = {1269--1272},
        doi = {10.1016/B978-012088469-8.50124-8},
        url = {https://doi.org/10.1016/B978-012088469-8.50124-8},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
148 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.00029250767
4,345 ASAP: Prioritizing Attention via Time Series Smoothing 2017 VLDB 6.7513816e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
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