| 1,579 |
k-Shape: Efficient and Accurate Clustering of Time Series |
2015 |
SIGMOD |
0.00010305183 |
| 1,805 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.7116108e-05 |
| 2,004 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
9.3207067e-05 |
| 2,023 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
9.2950046e-05 |
| 3,447 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
7.4085215e-05 |
| 3,987 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.9722766e-05 |
| 4,234 |
GRAIL: Efficient Time-Series Representation Learning |
2019 |
VLDB |
6.8171563e-05 |
| 4,604 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
6.6104585e-05 |
| 5,622 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
6.1461066e-05 |
| 6,061 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.9910733e-05 |
| 8,000 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
5.5092344e-05 |
| 9,448 |
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection |
2022 |
VLDB |
5.2665425e-05 |
| 9,477 |
Odyssey: An Engine Enabling The Time-Series Clustering Journey |
2023 |
VLDB |
5.2634238e-05 |
| 9,733 |
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation |
2025 |
SIGMOD |
5.227679e-05 |
| 10,256 |
HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series |
2026 |
SIGMOD |
5.093636e-05 |
| 10,271 |
MUFASA: Fast and Accurate Multivariate Time-Series Clustering |
2026 |
SIGMOD |
5.093636e-05 |
| 10,298 |
The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] |
2026 |
SIGMOD |
5.093636e-05 |
| 10,747 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
5.093636e-05 |
| 10,796 |
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data |
2025 |
SIGMOD |
5.093636e-05 |
| 10,961 |
BURST: Rendering Clustering Techniques Suitable for Evolving Streams |
2025 |
VLDB |
5.093636e-05 |
| 10,977 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
5.093636e-05 |
| 10,978 |
Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods |
2025 |
VLDB |
5.093636e-05 |
| 10,980 |
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression |
2025 |
VLDB |
5.093636e-05 |
| 11,056 |
EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
5.093636e-05 |
| 11,300 |
Time-Series Anomaly Detection: Overview and New Trends |
2024 |
VLDB |
5.093636e-05 |
| 11,435 |
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances |
2023 |
VLDB |
5.093636e-05 |
| 13,315 |
ShapX Engine: A Demonstration of Shapley Value Approximations |
2025 |
SIGMOD |
- |
| 13,342 |
SAIL: A Voyage to Symbolic Approximation Solutions for Time-Series Analysis |
2025 |
VLDB |
- |
| 13,463 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |