Kongu Engineering College, Erode, Tamilnadu, India
Abstract
Credit Card Fraud is one of the major ethical issues faced in day to day life. It’s one among the foremost common frauds nowadays. The credit card fraud may happen in any of the following ways such as card stolen; card number is overseen by the other person and Fake phone calls convincing the person to disclose their card details. The main aim of the technique used here is to detect the Fraud from the legitimate transactions. Data mining techniques are helpful in detecting the frauds or the fraudulent activities. The most enhanced technique used here are Decision tree and Random Forest algorithm to detect the fraudulent behavior.
Eswaran, M., Deepa, S., Hamsanandhini, S., & Ojha, S. (2021). Identification Of Credit Card Frau Detection Using Decision Tree And Random Forest Algorithm. Int. J. of Aquatic Science, 12(3), 1646-1654.
MLA
Malathi Eswaran; S. Deepa; S. Hamsanandhini; Shiwangi Ojha. "Identification Of Credit Card Frau Detection Using Decision Tree And Random Forest Algorithm". Int. J. of Aquatic Science, 12, 3, 2021, 1646-1654.
HARVARD
Eswaran, M., Deepa, S., Hamsanandhini, S., Ojha, S. (2021). 'Identification Of Credit Card Frau Detection Using Decision Tree And Random Forest Algorithm', Int. J. of Aquatic Science, 12(3), pp. 1646-1654.
VANCOUVER
Eswaran, M., Deepa, S., Hamsanandhini, S., Ojha, S. Identification Of Credit Card Frau Detection Using Decision Tree And Random Forest Algorithm. Int. J. of Aquatic Science, 2021; 12(3): 1646-1654.
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