| 576 |
Quality and Efficiency in High Dimensional Nearest Neighbor Search |
2009 |
SIGMOD |
0.00016118297 |
| 583 |
Efficient Algorithms for Mining Outliers from Large Data Sets |
2000 |
SIGMOD |
0.00015952617 |
| 1,005 |
Anomaly Detection in Time Series: A Comprehensive Evaluation |
2022 |
VLDB |
0.00012584107 |
| 1,545 |
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series |
2021 |
VLDB |
0.00010299696 |
| 1,629 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
0.0001003165 |
| 1,938 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
9.334286e-05 |
| 2,175 |
Efficient Processing of k Nearest Neighbor Joins using MapReduce |
2012 |
VLDB |
8.918268e-05 |
| 2,360 |
Online Outlier Detection in Sensor Data Using Non-Parametric Models |
2006 |
VLDB |
8.5774153e-05 |
| 2,376 |
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series |
2020 |
VLDB |
8.5517908e-05 |
| 2,748 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
8.0572603e-05 |
| 2,962 |
Auto-Detect: Data-Driven Error Detection in Tables |
2018 |
SIGMOD |
7.8038782e-05 |
| 3,044 |
Interactive Outlier Exploration in Big Data Streams |
2014 |
VLDB |
7.7177446e-05 |
| 3,299 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
7.441222e-05 |
| 3,728 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
7.0667899e-05 |
| 4,105 |
AutoOD: Automatic Outlier Detection |
2023 |
SIGMOD |
6.8033852e-05 |
| 4,301 |
Outlier Detection for High Dimensional Data |
2001 |
SIGMOD |
6.6757672e-05 |
| 4,560 |
Scalable Kernel Density Classification via Threshold-Based Pruning |
2017 |
SIGMOD |
6.5319373e-05 |
| 4,689 |
A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System |
2022 |
VLDB |
6.4677473e-05 |
| 4,705 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
6.4591377e-05 |
| 4,910 |
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection |
2024 |
VLDB |
6.3554126e-05 |
| 4,969 |
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles |
2022 |
VLDB |
6.3324754e-05 |
| 5,046 |
ODIN: Automated Drift Detection and Recovery in Video Analytics |
2020 |
VLDB |
6.2972614e-05 |
| 5,080 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
6.2830313e-05 |
| 5,357 |
Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data |
2024 |
SIGMOD |
6.1638123e-05 |
| 5,536 |
GORDER: An Efficient Method for KNN Join Processing |
2004 |
VLDB |
6.0904184e-05 |
| 5,561 |
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection |
2024 |
VLDB |
6.0820916e-05 |
| 5,935 |
Continuously Adaptive Similarity Search |
2020 |
SIGMOD |
5.9391038e-05 |
| 6,067 |
Streaming Anomaly Detection Using Randomized Matrix Sketching |
2016 |
VLDB |
5.8949751e-05 |
| 6,075 |
AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data |
2024 |
VLDB |
5.8925161e-05 |
| 6,201 |
GraphAn: Graph-based Subsequence Anomaly Detection |
2020 |
VLDB |
5.8499497e-05 |
| 6,336 |
Outlier-robust Clustering using Independent Components |
2008 |
SIGMOD |
5.8085039e-05 |
| 7,043 |
Human-in-the-loop Outlier Detection |
2020 |
SIGMOD |
5.611642e-05 |
| 7,252 |
Akane: Perplexity-Guided Time Series Data Cleaning |
2024 |
SIGMOD |
5.5714652e-05 |
| 7,577 |
Benchmarking the Utility of w-event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors |
2023 |
VLDB |
5.4914399e-05 |
| 7,647 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
5.4746904e-05 |
| 7,928 |
Outlier Summarization via Human Interpretable Rules |
2024 |
VLDB |
5.4233854e-05 |
| 8,235 |
A New Distributional Treatment for Time Series and An Anomaly Detection Investigation |
2022 |
VLDB |
5.3700475e-05 |
| 8,248 |
Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries |
2021 |
SIGMOD |
5.3678123e-05 |
| 8,282 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
5.3616162e-05 |
| 8,405 |
TOD: GPU-accelerated Outlier Detection via Tensor Operations |
2023 |
VLDB |
5.3370629e-05 |
| 9,239 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
5.2032182e-05 |
| 9,493 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
5.168414e-05 |
| 9,575 |
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods |
2025 |
VLDB |
5.154741e-05 |
| 9,756 |
Local Search Methods for k-Means with Outliers |
2017 |
VLDB |
5.1325223e-05 |
| 9,917 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
5.1079647e-05 |
| 10,022 |
PCOR: Private Contextual Outlier Release via Differentially Private Search |
2021 |
SIGMOD |
5.0932019e-05 |
| 10,143 |
Distance-Based Outlier Detection: Consolidation and Renewed Bearing |
2010 |
VLDB |
5.072296e-05 |
| 10,480 |
HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,521 |
The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,537 |
Guardrail: Automated Integrity Constraint Synthesis From Noisy Data |
2026 |
SIGMOD |
4.9769913e-05 |