Fraud detection models and payment transactions analysis using machine learning

The work’s aim is to research a set of selected mathematical models and algorithms that examine the data of a single payment transaction to classify it as fraud or verified. Described models are implemented in the form of a computer code and algorithms, and therefore can be executed in real-time. Th...

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Bibliographic Details
Main Authors: Shpyrko Viktor, Koval Bohdan
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2019/06/shsconf_m3e22019_02002.pdf