Work

A unifying framework for detecting outliers and change points from non-stationary time series data

Year: 2002

Type: conference-paper

Source: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI: 10.1145/775047.775148

Authors: Kenji Yamanishi, Jun-ichi Takeuchi

Institution: NEC (Japan)

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2046868034

FWCI: 3.503

Cites: 14

Cited by: 291

Related to: 10