| 1,579 |
k-Shape: Efficient and Accurate Clustering of Time Series |
2015 |
SIGMOD |
0.00010186397 |
| 1,629 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
0.00010036401 |
| 1,937 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
9.3387043e-05 |
| 1,973 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
9.2834606e-05 |
| 3,298 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
7.4447462e-05 |
| 3,726 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
7.0701368e-05 |
| 4,316 |
GRAIL: Efficient Time-Series Representation Learning |
2019 |
VLDB |
6.6683448e-05 |
| 4,703 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
6.4621968e-05 |
| 5,471 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
6.1181669e-05 |
| 6,189 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.8568233e-05 |
| 7,094 |
Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods |
2025 |
VLDB |
5.601767e-05 |
| 7,641 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
5.4772833e-05 |
| 8,160 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
5.3871591e-05 |
| 9,482 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
5.1708619e-05 |
| 9,483 |
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression |
2025 |
VLDB |
5.1708619e-05 |
| 9,488 |
Time-Series Anomaly Detection: Overview and New Trends |
2024 |
VLDB |
5.1708619e-05 |
| 9,626 |
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection |
2022 |
VLDB |
5.1483755e-05 |
| 9,658 |
Odyssey: An Engine Enabling The Time-Series Clustering Journey |
2023 |
VLDB |
5.1453267e-05 |
| 9,909 |
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation |
2025 |
SIGMOD |
5.1103839e-05 |
| 10,469 |
HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,483 |
MUFASA: Fast and Accurate Multivariate Time-Series Clustering |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,510 |
The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] |
2026 |
SIGMOD |
4.9793485e-05 |
| 11,211 |
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,348 |
BURST: Rendering Clustering Techniques Suitable for Evolving Streams |
2025 |
VLDB |
4.9793485e-05 |
| 11,419 |
EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
4.9793485e-05 |
| 11,749 |
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances |
2023 |
VLDB |
4.9793485e-05 |
| 13,637 |
ShapX Engine: A Demonstration of Shapley Value Approximations |
2025 |
SIGMOD |
- |
| 13,660 |
SAIL: A Voyage to Symbolic Approximation Solutions for Time-Series Analysis |
2025 |
VLDB |
- |
| 13,777 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |