Cluster-based outlier detection

DOI10.1007/S10479-008-0371-9zbMath1183.68212OpenAlexW1974561058MaRDI QIDQ2271842

Jun Lee, Li Da Xu, Ying Liu, Lian Duan

Publication date: 4 August 2009

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-008-0371-9

zbMATH Keywords

outlier detectioncluster-based outlierLDBSCANlocal outlier factor

Mathematics Subject Classification ID

Database theory (68P15) Pattern recognition, speech recognition (68T10) Data structures (68P05)

Related Items (6)

A financial fraud detection indicator for investors: an \textit{IDeA} ⋮ New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks ⋮ Detecting anomaly collections using extreme feature ranks ⋮ Banks' business strategies on the edge of distress ⋮ Validity indices for clusters of uncertain data objects ⋮ Clustering noise-included data by controlling decision errors

Uses Software

• LOF

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Cure: An efficient clustering algorithm for large databases
• Discovering cluster-based local outliers
• Two-phase clustering process for outliers detection
• Data mining. Concepts and techniques

This page was built for publication: Cluster-based outlier detection