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Distance-Based Outlier Detection: Consolidation and Renewed Bearing

Summary: Survey and framework for distance-based outlier detection; factorial study on real datasets. Findings: combining optimizations yields major efficiency gains, yet no universal winner; data-dependent guidance and a family of state-of-the-art algorithms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10030
Venue
VLDB
Year
2010
Pagerank
4.2823546e-05
Overall Rank
9,787 | 31.92%
DOI
-

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Rank Citing Paper Year Venue Pagerank
8,157 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 4.5730908e-05
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