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Online Outlier Detection in Sensor Data Using Non-Parametric Models
Summary: Distributed, non-parametric framework for online outlier detection in resource-constrained sensor networks using multi-dimensional distributions. Single-pass, low-memory; enables distance- or density-based outliers with competitive accuracy vs baselines.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 9434
- Venue
- VLDB
- Year
- 2006
- Pagerank
- 8.4160309e-05
- Overall Rank
- 2,629 | 81.72%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,627 |
Data Cleaning: Overview and Emerging Challenges |
2016 |
SIGMOD |
0.00011086905 |
| 1,854 |
Distance-based Outlier Detection in Data Streams |
2016 |
VLDB |
0.00010317762 |
| 2,029 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.740868e-05 |
| 2,126 |
MacroBase: Prioritizing Attention in Fast Data |
2017 |
SIGMOD |
9.4887794e-05 |
| 2,165 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
9.389622e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9327638e-05 |
| 2,644 |
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series |
2020 |
VLDB |
8.3832357e-05 |
| 3,943 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
6.6099833e-05 |
| 4,079 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.4663636e-05 |
| 6,116 |
GraphAn: Graph-based Subsequence Anomaly Detection |
2020 |
VLDB |
5.2039218e-05 |
| 6,991 |
Sharing-Aware Outlier Analytics over High-Volume Data Streams |
2016 |
SIGMOD |
4.8702811e-05 |
| 8,244 |
PROUD: PaRallel OUtlier Detection for streams |
2020 |
SIGMOD |
4.5517083e-05 |
| 10,579 |
Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach |
2025 |
VLDB |
4.1945683e-05 |
| 11,500 |
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test |
2021 |
VLDB |
4.1945683e-05 |
| 11,536 |
LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization |
2021 |
VLDB |
4.1945683e-05 |
| 12,221 |
TACO: Tunable Approximate Computation of Outliers in Wireless Sensor Networks |
2010 |
SIGMOD |
4.1945683e-05 |
| 12,342 |
Enabling epsilon-Approximate Querying in Sensor Networks |
2009 |
VLDB |
4.1945683e-05 |
| 13,261 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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ORDEN: Outlier Region Detection and Exploration in Sensor Networks |
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TACO: Tunable Approximate Computation of Outliers in Wireless Sensor Networks |
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| 9,787 |
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| 3,920 |
Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms |
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| 7,351 |
Distributed Outlier Detection using Compressive Sensing |
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SIGMOD |
4.7545562e-05 |