On Making Skyline Queries Resistant to Outliers

DOI10.1007/978-3-319-45763-5_2zbMath1477.68270OpenAlexW2546964979MaRDI QIDQ5016642

Hélène Jaudoin, Daniel Rocacher, Olivier Pivert, Pierre Nerzic

Publication date: 14 December 2021

Published in: Advances in Knowledge Discovery and Management (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-45763-5_2

zbMATH Keywords

exceptional pointskyline querymembership degreeglobal memorytypical point

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Parallel algorithms in computer science (68W10) Data structures (68P05) Information storage and retrieval of data (68P20)

Cites Work

• A survey of outlier detection methodologies
• ON THE THEORY OF TYPICALITY
• A note on a fuzzy measure of typicality
• A survey on unsupervised outlier detection in high‐dimensional numerical data
• Mining (Soft-) Skypatterns Using Dynamic CSP
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