| 576 |
Quality and Efficiency in High Dimensional Nearest Neighbor Search |
2009 |
SIGMOD |
0.00016121388 |
| 583 |
Efficient Algorithms for Mining Outliers from Large Data Sets |
2000 |
SIGMOD |
0.00015960125 |
| 1,005 |
Anomaly Detection in Time Series: A Comprehensive Evaluation |
2022 |
VLDB |
0.00012590067 |
| 1,544 |
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series |
2021 |
VLDB |
0.00010304574 |
| 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 |
| 2,176 |
Efficient Processing of k Nearest Neighbor Joins using MapReduce |
2012 |
VLDB |
8.9159001e-05 |
| 2,359 |
Online Outlier Detection in Sensor Data Using Non-Parametric Models |
2006 |
VLDB |
8.5813849e-05 |
| 2,375 |
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series |
2020 |
VLDB |
8.555841e-05 |
| 2,748 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
8.0610697e-05 |
| 2,960 |
Auto-Detect: Data-Driven Error Detection in Tables |
2018 |
SIGMOD |
7.8075103e-05 |
| 3,043 |
Interactive Outlier Exploration in Big Data Streams |
2014 |
VLDB |
7.7212998e-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 |
| 4,103 |
AutoOD: Automatic Outlier Detection |
2023 |
SIGMOD |
6.8066074e-05 |
| 4,299 |
Outlier Detection for High Dimensional Data |
2001 |
SIGMOD |
6.6789252e-05 |
| 4,558 |
Scalable Kernel Density Classification via Threshold-Based Pruning |
2017 |
SIGMOD |
6.5350309e-05 |
| 4,686 |
A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System |
2022 |
VLDB |
6.4708106e-05 |
| 4,703 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
6.4621968e-05 |
| 4,909 |
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection |
2024 |
VLDB |
6.3584226e-05 |
| 4,966 |
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles |
2022 |
VLDB |
6.3354746e-05 |
| 5,043 |
ODIN: Automated Drift Detection and Recovery in Video Analytics |
2020 |
VLDB |
6.3002257e-05 |
| 5,077 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
6.2858696e-05 |
| 5,351 |
Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data |
2024 |
SIGMOD |
6.1667315e-05 |
| 5,532 |
GORDER: An Efficient Method for KNN Join Processing |
2004 |
VLDB |
6.0932822e-05 |
| 5,559 |
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection |
2024 |
VLDB |
6.0849722e-05 |
| 5,935 |
Continuously Adaptive Similarity Search |
2020 |
SIGMOD |
5.9419167e-05 |
| 6,066 |
Streaming Anomaly Detection Using Randomized Matrix Sketching |
2016 |
VLDB |
5.897767e-05 |
| 6,073 |
AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data |
2024 |
VLDB |
5.8953069e-05 |
| 6,197 |
GraphAn: Graph-based Subsequence Anomaly Detection |
2020 |
VLDB |
5.8527203e-05 |
| 6,333 |
Outlier-robust Clustering using Independent Components |
2008 |
SIGMOD |
5.8112446e-05 |
| 7,042 |
Human-in-the-loop Outlier Detection |
2020 |
SIGMOD |
5.6142998e-05 |
| 7,250 |
Akane: Perplexity-Guided Time Series Data Cleaning |
2024 |
SIGMOD |
5.574104e-05 |
| 7,571 |
Benchmarking the Utility of w-event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors |
2023 |
VLDB |
5.4940407e-05 |
| 7,641 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
5.4772833e-05 |
| 7,924 |
Outlier Summarization via Human Interpretable Rules |
2024 |
VLDB |
5.425954e-05 |
| 8,229 |
A New Distributional Treatment for Time Series and An Anomaly Detection Investigation |
2022 |
VLDB |
5.3725908e-05 |
| 8,242 |
Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries |
2021 |
SIGMOD |
5.3703546e-05 |
| 8,276 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
5.3641556e-05 |
| 8,400 |
TOD: GPU-accelerated Outlier Detection via Tensor Operations |
2023 |
VLDB |
5.3395906e-05 |
| 9,229 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
5.2056825e-05 |
| 9,482 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
5.1708619e-05 |
| 9,567 |
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods |
2025 |
VLDB |
5.1571823e-05 |
| 9,751 |
Local Search Methods for k-Means with Outliers |
2017 |
VLDB |
5.1349531e-05 |
| 9,910 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
5.1103839e-05 |
| 10,017 |
PCOR: Private Contextual Outlier Release via Differentially Private Search |
2021 |
SIGMOD |
5.0956141e-05 |
| 10,139 |
Distance-Based Outlier Detection: Consolidation and Renewed Bearing |
2010 |
VLDB |
5.0746983e-05 |
| 10,469 |
HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,510 |
The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,526 |
Guardrail: Automated Integrity Constraint Synthesis From Noisy Data |
2026 |
SIGMOD |
4.9793485e-05 |