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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
5862
Venue
SIGMOD
Year
2020
Pagerank
5.5197636e-05
Overall Rank
8,269 | 42.54%
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
5,069 METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection 2024 VLDB 6.443981e-05
8,003 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 5.5660333e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

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