Work

On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms

Year: 2004

Type: article

Source: Data Mining and Knowledge Discovery

DOI: 10.1023/b:dami.0000023676.72185.7c

Authors: Kenji Yamanishi, Jun-ichi Takeuchi, Graham Williams, Peter Milne

Institutions: NEC (Japan), Commonwealth Scientific and Industrial Research Organisation

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2045064676

FWCI: 12.68

Cites: 29

Cited by: 484

Related to: 10