Fraud Detection in SAP transactions using Machine Learning involved a comprehensive exploration into traditional ML methods and advanced techniques like autoencoders. The study aimed to evaluate their effectiveness in detecting anomalies and fraud within the intricate landscape of SAP transactions.
Anotace v angličtině
Fraud Detection in SAP transactions using Machine Learning involved a comprehensive exploration into traditional ML methods and advanced techniques like autoencoders. The study aimed to evaluate their effectiveness in detecting anomalies and fraud within the intricate landscape of SAP transactions.
Klíčová slova
-
Klíčová slova v angličtině
-
Rozsah průvodní práce
47
Jazyk
AN
Anotace
Fraud Detection in SAP transactions using Machine Learning involved a comprehensive exploration into traditional ML methods and advanced techniques like autoencoders. The study aimed to evaluate their effectiveness in detecting anomalies and fraud within the intricate landscape of SAP transactions.
Anotace v angličtině
Fraud Detection in SAP transactions using Machine Learning involved a comprehensive exploration into traditional ML methods and advanced techniques like autoencoders. The study aimed to evaluate their effectiveness in detecting anomalies and fraud within the intricate landscape of SAP transactions.
Klíčová slova
-
Klíčová slova v angličtině
-
Zásady pro vypracování
-
Zásady pro vypracování
-
Seznam doporučené literatury
-
Seznam doporučené literatury
-
Přílohy volně vložené
-
Přílohy vázané v práci
ilustrace, grafy, tabulky
Převzato z knihovny
Ne
Plný text práce
Přílohy
Posudek(y) oponenta
Hodnocení vedoucího
Záznam průběhu obhajoby
second opponent 2
Student presentation
SAP ERP
abnormalities, false positive, false negative
Vohnoutova - false positives, false negatives, anomalies - the difference
Geyer - the data are incomplete, It is impossible to port the method to another company.