Fraud detection system: A survey
By Aisha Abdallah, Mohd Aizaini Maarof, Anazida Binti Zainal. Journal of Network and Computer Applications, 2016
653 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/5187df17503f78c7e063c2ea0a707e3e59c48235
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Information Systems
Citations in the corpus
- Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection (2019, background): “A significant body of prior work exists within anomaly detection for visual scene understanding [1]–[5] with a wide range of application domains [6]–[10].”
- Trustworthy AI: From Principles to Practices (2021, methodology): “Attack monitoring has been widely adopted in conventional SaaS, such as fraud detection [3] in e-commerce systems.”