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Anomaly Detection in Financial-Transaction Monitoring using Geometric Deep Learning

Jinde, Shubham (2021) Anomaly Detection in Financial-Transaction Monitoring using Geometric Deep Learning. Master's Thesis / Essay, Artificial Intelligence.

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Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Schomaker, L.R.B.
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 02 Sep 2021 11:36
Last Modified: 02 Sep 2021 11:36
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/26000

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