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Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries

Summary: MDUAL leverages the duality of data and queries to process similar data points and queries incrementally for continuous stream outlier detection. Data-query grouping and prioritized group processing enable large multiplicity-dynamic query handling; achieves 216–221× speedups and 11–13× memory savings over state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6091
Venue
SIGMOD
Year
2021
Pagerank
4.463922e-05
Overall Rank
8,707 | 39.43%
DOI
10.1145/3448016.3452810

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Rank Citing Paper Year Venue Pagerank
4,762 METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection 2024 VLDB 5.9395463e-05
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