Measuring Early Detection of Anomalies-Reference-Cited by-同舟云学术

Measuring Early Detection of Anomalies

Published:2022 Issue: Volume:10 Page:127695-127707
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lopez-Vizcaino Manuel F.¹^ORCID,Novoa Francisco J.¹^ORCID,Fernandez Diego¹^ORCID,Cacheda Fidel¹^ORCID

Affiliation:

1. Department of Computer Science and Information Technologies, Center for Information and Communications Technologies Research (CITIC), University of A Coruña, A Coruña, Spain

Funder

Ministry of Economy and Competitiveness of Spain and Fondo Europeo de Desarrollo Regional (FEDER) Funds of the European Union

Centro de Investigación de Galicia—Centro de Investigación en Tecnologías de la Información y las Comunicaciones (CITIC) Funded by Xunta de Galicia and the European Union

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09963563.pdf?arnumber=9963563

Reference32 articles.

1. Analysis and detection of labeled cyberbullying instances in Vine, a video-based social network

2. Early detection of cyberbullying on social media networks

3. Enquiring Minds

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