Visual Exploration of Time Series Anomalies with Metro-Viz
Summary: Metro-Viz is visualization-driven exploration tool for time-series anomaly results, enabling comparison and what-if reasoning. It offers workload-aware data-management and demonstrates applicability across multiple time-series datasets and detectors. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Philipp Eichmann (Brown University)
- 2. Franco Solleza (Brown University)
- 3. Nesime Tatbul (Intel; Massachusetts Institute of Technology)
- 4. Stan Zdonik (Brown University)
BibTeX Citation
@inproceedings{eichmann_sigmod19,
title = {{Visual Exploration of Time Series Anomalies with Metro-Viz}},
author = {Eichmann, Philipp and Solleza, Franco and Tatbul, Nesime and Zdonik, Stan},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320247},
url = {https://dl.acm.org/doi/10.1145/3299869.3320247},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,601 | ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines | 2020 | SIGMOD | 6.0524822e-05 |
| 9,374 | A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection | 2021 | VLDB | 5.1715133e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,388 | RINSE: Interactive Data Series Exploration with ADS+ | 2015 | VLDB | 7.3299881e-05 |
| 4,070 | Qetch: Time Series Querying with Expressive Sketches | 2018 | SIGMOD | 6.8079651e-05 |
| 4,477 | Interactive Time Series Analytics Powered by ONEX | 2017 | SIGMOD | 6.5683306e-05 |
| 6,094 | Data Ingestion for the Connected World | 2017 | CIDR | 5.8708908e-05 |
| 7,956 | Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets | 2017 | SIGMOD | 5.4019329e-05 |
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