Fraud detection: A systematic literature review of graph-based anomaly detection approaches-Reference-Cited by-同舟云学术

Fraud detection: A systematic literature review of graph-based anomaly detection approaches

Published:2020-06 Issue: Volume:133 Page:113303
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Pourhabibi Tahereh,Ong Kok-Leong,Kam Booi H.,Boo Yee Ling

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference89 articles.

1. Novel graph based anomaly detection using background knowledge;Velampalli,2017

2. Graph-based fraud detection in the face of camouflage;Hooi;ACM Transactions on Knowledge Discovery,2017

3. Anomaly detection in online social networks;Savage;Soc. Networks,2014

4. Social media’s contribution to political misperceptions in U.S. presidential elections;Kelly;PLoS One,2019

5. Graph analytics for healthcare fraud risk estimation;Branting,2016

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