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PROUD: PaRallel OUtlier Detection for streams

Summary: PROUD: PaRallel OUtlier Detection for streams, a Flink-based engine for continuous, multi-parameter distance-based outlier detection. Extensible, configurable parallel techniques; simple ingestion API; live metrics; open-source storage for future analysis. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5861
Venue
SIGMOD
Year
2020
Pagerank
4.5517083e-05
Overall Rank
8,244 | 42.65%
DOI
10.1145/3318464.3384688

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,762 METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection 2024 VLDB 5.9395463e-05
8,157 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 4.5730908e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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