• ISSN: 2349-6002
  • UGC Approved Journal No 47859
Author Login IJIRT Partner Network (IPN) Login

Credit Card Transaction Fraud Detection System Using Fuzzy Logic and K-Means Algorithm

  • Unique Paper ID: 142568
  • Volume: 2
  • Issue: 3
  • PageNo: 171-176
  • Abstract:
  • The usage of credit card has dramatically increased, credit card fraud has become increasing rampant in recent years. Nowadays credit card fraud is one of the major issues of great financial losses, for the merchants and individual clients are also affected. This fraud is difficult to find out fraudulent and concerning losses will be barred by issuing authorities. As a result, fraud detection is the important solution and almost certainly the best way to stop credit card fraud types. Fuzzy logic is to analyze the spending profile of each card holder Credit card fraud can be detected on analyzing of previous transactions data. In this study Fuzzy logic and k-means are developed and applied to credit card fraud detection problem. It will be the most effective method to counter fraud transaction through internet. Fuzzy logic and k-means produce a better result comparing to the other data mining techniques.
email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 3
  • PageNo: 171-176

Credit Card Transaction Fraud Detection System Using Fuzzy Logic and K-Means Algorithm

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry