A decomposition of the outlier detection problem into a set of supervised learning problems

DOI10.1007/S10994-015-5507-YzbMath1341.68165OpenAlexW599384242WikidataQ55935894 ScholiaQ55935894MaRDI QIDQ747273

Robert Meusel, Heiko Paulheim

Publication date: 23 October 2015

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-015-5507-y

zbMATH Keywords

machine learningoutlier detectionoutlier explanations

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Commentary: A decomposition of the outlier detection problem into a set of supervised learning problems

Uses Software

• SOREX
• rapidminer
• LOF
• ELKI

Cites Work

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• Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2010, Barcelona, Spain, September 20--24, 2010. Proceedings, Part III
• A survey of outlier detection methodologies
• On the Use of a Friedman-Type Statistic in Balanced and Unbalanced Block Designs
• Discovering cluster-based local outliers
• Outlier Analysis

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