03030ntm a22005177i 4500 000264240 CZ-PrVSE 20220907191439.0 m d cr n|||||||||| 220907s2022 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Uvaliyeva, Angelina ISIS:121650 dis Payment card fraud detection using machine learning eng Payment card fraud detection using machine learning / Angelina Uvaliyeva 2022 ?? stran : digital, PDF soubor Vedoucí práce: Michal Černý Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2022 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2022 Payment card frauds cost billions of dollars to all card issuers every year. Therefore, banks make more effort every year to improve the methods of analyzing data to effectively detect card frauds. There are various techniques for detecting fraud transactions but the most effective and used ones are deep learning methods. Deep learning as one of the subsets of machine learning is becoming the most popular research point. Deep learning uses artificial neural networks. Artificial neural networks are flexible and self-adaptive to solve complex problems that are difficult to describe with a mathematical model. The purpose of this work is to implement a neural network algorithm able to analyze a credit card fraud data set originated from one local Czech bank. The type of neural network used is multilayer perceptron. Neural networks with different parameters of layers, neurons, activation functions and optimizers were developed. To compare the models metrics Recall, Precision, F1-score and AUROC were used. Způsob přístupu: Internet ekonometrie a operační výzkum [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Fraud Deep learning Fraud detection Neural Network Černý, Michal mzk2005275013 ths Holý, Vladimír ISIS:116093 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/75146/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/75146 Hlavní práce https://insis.vse.cz/zp/75146/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/75146/posudek/oponent/76016 Oponentura https://insis.vse.cz/zp/75146/priloha/24633 Přiloha k práci https://insis.vse.cz/zp/75146/podrobnosti dc:identifier NEPOSILAT VSKP vse75146 220830 75146