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 |
|---|---|---|---|---|
| 5,587 | ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines | 2020 | SIGMOD | 6.0754379e-05 |
| 9,338 | A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection | 2021 | VLDB | 5.1911033e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 3,377 | RINSE: Interactive Data Series Exploration with ADS+ | 2015 | VLDB | 7.357781e-05 |
| 4,043 | Qetch: Time Series Querying with Expressive Sketches | 2018 | SIGMOD | 6.8337376e-05 |
| 4,453 | Interactive Time Series Analytics Powered by ONEX | 2017 | SIGMOD | 6.5932148e-05 |
| 6,079 | Data Ingestion for the Connected World | 2017 | CIDR | 5.8926409e-05 |
| 7,937 | Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets | 2017 | SIGMOD | 5.4224212e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,686 | A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System | 2022 | VLDB |
| 2 | 4,449 | Data Debugging and Exploration with Vizier | 2019 | SIGMOD |
| 3 | 3,043 | Interactive Outlier Exploration in Big Data Streams | 2014 | VLDB |
| 4 | 11,419 | EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB |
| 5 | 1,005 | Anomaly Detection in Time Series: A Comprehensive Evaluation | 2022 | VLDB |
| 6 | 9,338 | A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection | 2021 | VLDB |
| 7 | 6,268 | An Experimental Evaluation of Anomaly Detection in Time Series | 2024 | VLDB |
| 8 | 5,115 | TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms | 2022 | VLDB |
| 9 | 10,979 | MCAD: Multivariate Correlation Anomaly Data Generator | 2026 | VLDB |
| 10 | 9,488 | Time-Series Anomaly Detection: Overview and New Trends | 2024 | VLDB |