Work

Detecting anomalous records in categorical datasets

Year: 2007

Type: conference-paper

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

DOI: 10.1145/1281192.1281219

Authors: Kaustav Das, Jeff Schneider

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

OpenAlex ID: W2162774438

FWCI: 4.577

Cites: 34

Cited by: 182

Related to: 10