A critical overview of outlier detection methods

DOI10.1016/J.COSREV.2020.100306zbMath1484.68197OpenAlexW3091873932MaRDI QIDQ2065968

Abir Smiti

Publication date: 13 January 2022

Published in: Computer Science Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cosrev.2020.100306

zbMATH Keywords

noiseoutliermachine learningoutlier detection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Computational aspects of data analysis and big data (68T09)

Related Items (3)

Novel data-driven method for non-probabilistic uncertainty analysis of engineering structures based on ellipsoid model ⋮ A survey of outlier detection in high dimensional data streams ⋮ Novel bootstrap-based ellipsoidal convex model for non-probabilistic reliability-based design optimization with insufficient input data

Uses Software

• LOF

Cites Work

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• Data mining. Concepts and techniques
• A precise ranking method for outlier detection
• QCC: a novel clustering algorithm based on quasi-cluster centers
• Discovery Science
• Data Mining and Knowledge Discovery Handbook

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