HBRP Publication
Published December 4, 2019 | Version v1
Journal article Open

Credit Card Fraud Detection by using ANN and Decision Tree

Creators

  • 1. Department of Computer Science, KLE College of Engineering and Technology, Karnataka, India.

Description

Credit card fraud detection is one of the biggest ethical issues. Credit card fraud detection has different types of frauds. Based on those types of fraud it will apply the fraud detection techniques. There are several techniques for detecting the frauds. Those techniques take the input data and tell the user to that particular input has fraud or not. If the transaction is fraud it will takes some actions like sending the message to owner and credit card industries.

Files

Credit Card Fraud Detection 2 -HBRP Publication.pdf

Files (166.6 kB)

Additional details

References

  • Linda Delamaire, Hussein Abdou, John Pointon Credit card fraud detection techniques: a review. 2009.
  • Sotiris Kotsiantis, Dirnitris Kanellopouios, Panayiotis Pintelas. Handling Imbalanced Datasets: A review. 2006.
  • Suman. Survey Paper on Credit Card Fraud Detection. 2014.
  • Aihua Shen, Rencheng Tong, Yaochen Deng. Application of Classification Models on Credit Card Fraud Detection. 2007.
  • Y.Sahin, E. Duman. Detecting Credit Card Fraud by ANN and Logistic Regression. 2011.

Subjects

Computer Science Engineering
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