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Distance-based Outlier Detection in Data Streams

Summary: Systematic benchmarking of DODDS algorithms on identical streams and platforms; unsupervised, distribution-free distance-based outlier detection. Results: MCOD dominates across settings; Thresh LEAP competitive only in limited cases, highlighting MCOD’s time/space efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11220
Venue
VLDB
Year
2016
Pagerank
0.00010317762
Overall Rank
1,854 | 87.11%
DOI
-

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