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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
- 12764
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 6.6036232e-05
- Overall Rank
- 3,946 | 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 |
8.9241557e-05 |
| 3,403 |
ELPIS: Graph-Based Similarity Search for Scalable Data Science |
2023 |
VLDB |
7.1338786e-05 |
| 4,082 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.4601453e-05 |
| 5,785 |
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection |
2024 |
VLDB |
5.3257637e-05 |
| 6,419 |
AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data |
2024 |
VLDB |
5.0621949e-05 |
| 6,435 |
An Experimental Evaluation of Anomaly Detection in Time Series |
2024 |
VLDB |
5.0555305e-05 |
| 8,222 |
TSGBench: Time Series Generation Benchmark |
2024 |
VLDB |
4.5509275e-05 |
| 8,279 |
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting |
2023 |
VLDB |
4.5392079e-05 |
| 8,740 |
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis |
2024 |
VLDB |
4.4520434e-05 |
| 9,299 |
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection |
2022 |
VLDB |
4.356626e-05 |
| 9,334 |
Odyssey: An Engine Enabling The Time-Series Clustering Journey |
2023 |
VLDB |
4.351469e-05 |
| 10,476 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,533 |
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,645 |
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods |
2025 |
VLDB |
4.1905499e-05 |
| 10,725 |
BURST: Rendering Clustering Techniques Suitable for Evolving Streams |
2025 |
VLDB |
4.1905499e-05 |
| 10,745 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
4.1905499e-05 |
| 10,748 |
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression |
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VLDB |
4.1905499e-05 |
| 10,834 |
EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
4.1905499e-05 |
| 10,880 |
MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection |
2025 |
VLDB |
4.1905499e-05 |
| 11,097 |
Time-Series Anomaly Detection: Overview and New Trends |
2024 |
VLDB |
4.1905499e-05 |
| 11,237 |
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances |
2023 |
VLDB |
4.1905499e-05 |
| 11,252 |
CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space |
2023 |
VLDB |
4.1905499e-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 |
| 159 |
LOF: Identifying Density-Based Local Outliers |
2000 |
SIGMOD |
0.00040135453 |
| 1,510 |
k-Shape: Efficient and Accurate Clustering of Time Series |
2015 |
SIGMOD |
0.00011588558 |
| 2,032 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.7320795e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9241557e-05 |
| 2,619 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4427442e-05 |
| 2,635 |
Online Outlier Detection in Sensor Data Using Non-Parametric Models |
2006 |
VLDB |
8.4081184e-05 |
| 2,646 |
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series |
2020 |
VLDB |
8.3751681e-05 |
| 4,062 |
GRAIL: Efficient Time-Series Representation Learning |
2019 |
VLDB |
6.4792249e-05 |
| 4,854 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
5.8707943e-05 |
| 6,311 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.1112212e-05 |
| 6,366 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
5.0892171e-05 |
| 8,090 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
4.5853298e-05 |
| 13,274 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |
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