| 2,029 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.740868e-05 |
| 2,139 |
Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases |
2020 |
VLDB |
9.4640037e-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 |
| 3,943 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
6.6099833e-05 |
| 4,059 |
GRAIL: Efficient Time-Series Representation Learning |
2019 |
VLDB |
6.4854417e-05 |
| 4,079 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.4663636e-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 |
| 6,440 |
An Experimental Evaluation of Anomaly Detection in Time Series |
2024 |
VLDB |
5.0603878e-05 |
| 6,624 |
Fast-Forwarding to Desired Visualizations with zenvisage |
2017 |
CIDR |
4.9890732e-05 |
| 6,851 |
Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering |
2023 |
VLDB |
4.9084229e-05 |
| 8,083 |
A New Distributional Treatment for Time Series and An Anomaly Detection Investigation |
2022 |
VLDB |
4.5903492e-05 |
| 8,646 |
Accelerating Product Quantization Query Execution Runtime |
2021 |
SIGMOD |
4.477163e-05 |
| 9,230 |
LeaFi: Data Series Indexes on Steroids with Learned Filters |
2025 |
SIGMOD |
4.3690661e-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 |
| 9,331 |
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification |
2022 |
SIGMOD |
4.3556432e-05 |
| 9,333 |
ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations |
2018 |
VLDB |
4.3556432e-05 |
| 9,599 |
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation |
2025 |
SIGMOD |
4.3177432e-05 |
| 10,309 |
CLaP - State Detection from Time Series |
2026 |
VLDB |
4.1945683e-05 |
| 10,331 |
MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance |
2026 |
VLDB |
4.1945683e-05 |
| 10,379 |
In-Database Time Series Clustering |
2025 |
SIGMOD |
4.1945683e-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 |
| 10,599 |
Time Series Motif Discovery: A Comprehensive Evaluation |
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 |
2025 |
VLDB |
4.1945683e-05 |
| 10,884 |
Representative Time Series Discovery for Data Exploration |
2025 |
VLDB |
4.1945683e-05 |
| 11,094 |
Time-Series Anomaly Detection: Overview and New Trends |
2024 |
VLDB |
4.1945683e-05 |
| 11,219 |
F3 KM: Federated, Fair, and Fast k-means |
2023 |
SIGMOD |
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 |
| 13,137 |
SAIL: A Voyage to Symbolic Approximation Solutions for Time-Series Analysis |
2025 |
VLDB |
- |
| 13,261 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |