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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
- 9435
- Venue
- VLDB
- Year
- 2006
- Pagerank
- 8.4081184e-05
- Overall Rank
- 2,635 | 81.69%
- DOI
-
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Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,629 |
Data Cleaning: Overview and Emerging Challenges |
2016 |
SIGMOD |
0.00011073148 |
| 1,859 |
Distance-based Outlier Detection in Data Streams |
2016 |
VLDB |
0.00010307902 |
| 2,032 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.7320795e-05 |
| 2,129 |
MacroBase: Prioritizing Attention in Fast Data |
2017 |
SIGMOD |
9.4799835e-05 |
| 2,167 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
9.3879598e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9241557e-05 |
| 2,646 |
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series |
2020 |
VLDB |
8.3751681e-05 |
| 3,946 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
6.6036232e-05 |
| 4,082 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.4601453e-05 |
| 6,115 |
GraphAn: Graph-based Subsequence Anomaly Detection |
2020 |
VLDB |
5.1995458e-05 |
| 6,990 |
Sharing-Aware Outlier Analytics over High-Volume Data Streams |
2016 |
SIGMOD |
4.8656085e-05 |
| 8,238 |
PROUD: PaRallel OUtlier Detection for streams |
2020 |
SIGMOD |
4.5473446e-05 |
| 10,588 |
Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach |
2025 |
VLDB |
4.1905499e-05 |
| 11,504 |
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test |
2021 |
VLDB |
4.1905499e-05 |
| 11,540 |
LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization |
2021 |
VLDB |
4.1905499e-05 |
| 12,229 |
TACO: Tunable Approximate Computation of Outliers in Wireless Sensor Networks |
2010 |
SIGMOD |
4.1905499e-05 |
| 12,350 |
Enabling epsilon-Approximate Querying in Sensor Networks |
2009 |
VLDB |
4.1905499e-05 |
| 13,274 |
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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| 3,921 |
Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms |
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| 7,347 |
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SIGMOD |
4.7502395e-05 |