FRAUD DETECTION USING MACHINE LEARNING – MSc. Muhammad Saad UDDIN
MSc. Muhammad Saad UDDIN
Master's thesis
FRAUD DETECTION USING MACHINE LEARNING
Abstract:
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.Abstract:
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.
Language used: English
Date on which the thesis was submitted / produced: 8. 2. 2024
Thesis defence
- Supervisor: prof. Dr. Andreas Fischer
Citation record
ISO 690-compliant citation record:
UDDIN, Muhammad Saad. \textit{FRAUD DETECTION USING MACHINE LEARNING}. Online. Master's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2024. Available from: https://theses.cz/id/tmemp0/.
The right form of listing the thesis as a source quoted
UDDIN, Muhammad Saad. FRAUD DETECTION USING MACHINE LEARNING. České Budějovice, 2024. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
Full text of thesis
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Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceMaster programme / field:
Artificial Intelligence and Data Science / Artificial Intelligence and Data Science
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