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Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection
Summary: New accuracy measures for time-series anomaly detection that address range-based anomalies. Extends AUC-based evaluation and introduces VUS (Volume Under the Surface), a parameter-free, threshold-independent family; claims superior robustness to noise, misalignment, and varying anomaly cardinality.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12763
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 6.6099833e-05
- Overall Rank
- 3,943 | 72.58%
- DOI
-
10.14778/3551793.3551830
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 22 of 22 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9327638e-05 |
| 3,400 |
ELPIS: Graph-Based Similarity Search for Scalable Data Science |
2023 |
VLDB |
7.1405533e-05 |
| 4,079 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.4663636e-05 |
| 5,777 |
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection |
2024 |
VLDB |
5.3308813e-05 |
| 6,423 |
AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data |
2024 |
VLDB |
5.0670573e-05 |
| 6,440 |
An Experimental Evaluation of Anomaly Detection in Time Series |
2024 |
VLDB |
5.0603878e-05 |
| 8,224 |
TSGBench: Time Series Generation Benchmark |
2024 |
VLDB |
4.5552948e-05 |
| 8,286 |
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting |
2023 |
VLDB |
4.5435639e-05 |
| 8,744 |
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis |
2024 |
VLDB |
4.456315e-05 |
| 9,294 |
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection |
2022 |
VLDB |
4.3608061e-05 |
| 9,329 |
Odyssey: An Engine Enabling The Time-Series Clustering Journey |
2023 |
VLDB |
4.3556432e-05 |
| 10,466 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,524 |
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,637 |
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods |
2025 |
VLDB |
4.1945683e-05 |
| 10,718 |
BURST: Rendering Clustering Techniques Suitable for Evolving Streams |
2025 |
VLDB |
4.1945683e-05 |
| 10,738 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
4.1945683e-05 |
| 10,741 |
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression |
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VLDB |
4.1945683e-05 |
| 10,830 |
EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
4.1945683e-05 |
| 10,876 |
MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection |
2025 |
VLDB |
4.1945683e-05 |
| 11,094 |
Time-Series Anomaly Detection: Overview and New Trends |
2024 |
VLDB |
4.1945683e-05 |
| 11,235 |
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances |
2023 |
VLDB |
4.1945683e-05 |
| 11,250 |
CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space |
2023 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 161 |
LOF: Identifying Density-Based Local Outliers |
2000 |
SIGMOD |
0.00039846974 |
| 1,516 |
k-Shape: Efficient and Accurate Clustering of Time Series |
2015 |
SIGMOD |
0.00011586255 |
| 2,029 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.740868e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9327638e-05 |
| 2,613 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4503824e-05 |
| 2,629 |
Online Outlier Detection in Sensor Data Using Non-Parametric Models |
2006 |
VLDB |
8.4160309e-05 |
| 2,644 |
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series |
2020 |
VLDB |
8.3832357e-05 |
| 4,059 |
GRAIL: Efficient Time-Series Representation Learning |
2019 |
VLDB |
6.4854417e-05 |
| 4,853 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
5.8760276e-05 |
| 6,311 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.1161316e-05 |
| 6,367 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
5.0941072e-05 |
| 8,088 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
4.5897316e-05 |
| 13,261 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |
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