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Credit card fraud detection using naive Bayesian and C4.5 decision tree classifiers

Admel Husejinovic

Growing problem of card payment fraudulent abuse is a main focus of banks and payment Service Providers (PSPs). This study is using naive Bayes, C4.5 decision tree and bagging ensemble machine learning algorithms to predict outcome of regular and fraud tr... see more

card payments | fraud transactions | naive Bayes | C4.5 decision tree | bagging

Periodicals of Engineering and Natural Sciences (PEN) , 2020

Free Access

Association between alcohol consumption and dietary supplement intake of students from the University of Sarajevo

Nafija Serdarevic, Arzija Pašalic, Eldina Smjecanin, Vedran Ðido, Refet Gojak, Muris Pecar, Fatima Jusupovic, Dijana Avdic, Namik Trtak, Eldad Kaljic, Amila Jaganjac, Bakir Katana, Samir Bojicic, Suada Brankovic, Jasmina Mahmutovic, Amra Macak Hadžiomerovic, Gordana Manic, Redžo Cauševic, Adnan Šehic, Ema Gojak, Almedina Hajrovic, Amela Salihovic, Minela Husejinovic Velagic, Ehlimana Pecar, Deni Selimovic

Journal of Health Sciences , 2019

Free Access

Improving Animal-Human Cohabitation with Machine Learning in Fiber-Wireless Networks

Sandeep Kumar Singh, Francisco Carpio and Admela Jukan

Journal of Sensor and Actuator Networks , 2018

Free Access

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