Credit Card Fraud Detection Using AdaBoost and Majority Voting

• Main Authors: Randhawa, Kuldeep, Loo, Chu Kiong, Seera, Manjeevan, Lim, Chee Peng, Nandi, Asoke K.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2018
• Subjects: QA75 Electronic computers. Computer science; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/20919/; https://doi.org/10.1109/ACCESS.2018.2806420
• Institution: Universiti Malaya

Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to credit card fraud every year. There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues. In this paper, machine learning algorithms are used to detect...