Work

Using Hypervectors for Efficient Anomaly Detection in Graph Streams

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Data Science and Advanced Analytics (DSAA)

DOI: 10.1109/dsaa61799.2024.10722819

Authors: William Arliss, Andrew B Godbehere, Graham Mueller

Institution: Leidos (United States)

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403723777

FWCI: 0.589

Cites: 30

Cited by: 2

Related to: 10