TY - JOUR
AB - International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-3, September 2019 Ensemble Classification Method for Credit Card Fraud Detection Inderpreet Kaur, Mala Kalra  fraud detection approach to identify the fraudster that goes Abstract: Credit card frauds are on the rise and are getting online, changes [5] the account address of a genuine user and smarter with the passage of time. Usually, fraudulent transactions then requests for a new card for personal use, for such silo are conducted by stealing the credit card. When the loss of the systems. It is possible for one team to just view the change is card is not noticed by the cardholder, a huge loss can be faced by address and the other to view the transactions made from that the credit card company. In the existing work, it has been found card. that the researchers have utilized Voting based method to identify c. A requirement of Real-time Detection Techniques: The credit card frauds. The problem with voting based method is that techniques available currently for detecting the frauds only they are more complex and more time consuming. In this research work for cases where fraudulent transactions have occurred work, 
TI - Ensemble Classification Method for Credit Card Fraud Detection
JF - Regular Issue
DO - 10.35940/ijrte.c4213.098319
DA - 2019-09-30
UR - https://www.deepdyve.com/lp/unpaywall/ensemble-classification-method-for-credit-card-fraud-detection-dNa9gLcWP2
DP - DeepDyve
ER -