Discovering outlying aspects in large datasets

DOI10.1007/s10618-016-0453-2zbMath1416.62280OpenAlexW2316630624MaRDI QIDQ1741290

Xianqiang Yang

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11343/283146

zbMATH Keywords

outlier explanationoutlying aspects miningsubspace selection

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Statistics of extreme values; tail inference (62G32)

Related Items (1)

A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique

Uses Software

• UCI-ml
• LOF
• HOS-Miner
• IsolationForest

Cites Work

• Mining outlying aspects on numeric data
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