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Found 2 datasets matching "Mining Distance-Based Outliers in Near Linear Time".

  • #1 Federal

    Full title: Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule Abstract: Defining outliers by their distance to neighboring examples is a popular...

    Search relevance: 358.29 | Views last month: 2 | Catalog Last Checked: April 04, 2026 at 09:03 PM
  • #2 Federal

    Orca is a data-driven, unsupervised anomaly detection algorithm that uses a distance-based approach. It uses a novel pruning rule that allows it to run in nearly linear time. Orca was co-developed...

    Search relevance: 134.72 | Views last month: 0 | Catalog Last Checked: August 03, 2025 at 09:01 PM

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