A Probabilistic Transformation of Distance-Based Outliers
Author:
Affiliation:
1. BMW Group, 4400 Steyr, Austria
2. Institute for Formal Models and Verification, Johannes Kepler University, 4040 Linz, Austria
3. Institute for Application-Oriented Knowledge Processing, Johannes Kepler University, 4040 Linz, Austria
Abstract
Funder
University of Linz
Publisher
MDPI AG
Subject
Artificial Intelligence,Engineering (miscellaneous)
Link
https://www.mdpi.com/2504-4990/5/3/42/pdf
Reference103 articles.
1. Barnett, V., and Lewis, T. (1978). Outliers in Statistical Data, John Wiley & Sons, Inc.
2. A Unifying Review of Deep and Shallow Anomaly Detection;Ruff;Proc. IEEE,2021
3. Hawkins, D.M. (1980). Identification of Outliers, Springer.
4. Novelty Detection: A Review—Part 1: Statistical Approaches;Markou;Signal Process.,2003
5. Novelty Detection: A Review—Part 2;Markou;Signal Process.,2003
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