Work

Detecting anomalies in dynamic rating data

Year: 2014

Type: conference-paper

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

DOI: 10.1145/2623330.2623721

Authors: Stephan Günnemann, Nikou Günnemann, Christos Faloutsos

Institution: Carnegie Mellon University

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Deutscher Akademischer Austauschdienst, Army Research Laboratory

Award: G948678646

OpenAlex ID: W2020214545

FWCI: 4.714

Cites: 25

Cited by: 48

Related to: 10