articleInformation SciencesDec 25, 2017Closed access

Using generative adversarial networks for improving classification effectiveness in credit card fraud detection

Parthenope University of Naples · University of Salerno

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

573
total citations
FWCI
23.51
Percentile
100%
References
53
Citations per year

Authors

5

Topics & keywords

Keywords
  • Computer science
  • Credit card fraud
  • Machine learning
  • Artificial intelligence
  • Classifier (UML)
  • Oversampling
  • Adversarial system
  • Credit card
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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