Searched for: subject%3A%22Anti%255C-Money%255C+Laundering%22
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de Ronde, Guus (author)
The banking sector is currently dealing with Anti-Money Laundering (AML) issues, with stricter legislation in Know Your Customer (AML) being the instigator. De Nederlandsche Bank is pursuing fully explainable and transparent models with a risk-based approach. Councyl provides such a model: Behavioural Artificial Intelligence Technology (BAIT)....
master thesis 2023
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Vis, Simone (author)
Money laundering is an increasing problem for the global economy. To combat money laundering, banks use transaction monitoring models with particular thresholds to detect unusual transaction behaviour. However, it is a challenge to determine and evaluate the suitability of a threshold level to ensure that the risk of misclassification of...
master thesis 2022
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Huistra, Mark (author)
In the fight against money laundering, demand for data-driven Anti-Money Laundering (AML) solutions is growing. Particularly anomaly detection algorithms have proven effective in the detection of suspicious customer behaviour, as well as observing patterns otherwise hidden in customer transaction data. In this thesis, the Isolation Forest...
master thesis 2021
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Weltevrede, Max (author)
According to the United Nations, the amount of money laundered worldwide each year is an estimated 2 - 5% of global GDP (equivalent to $800 billion to $2 trillion in US dollars). This is money that criminal enterprises rely on to oper- ate. For that reason, the European Union demands that gatekeepers (banks and other obliged entities) apply...
master thesis 2020
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Bergþórsdóttir, K.B. (author)
Machine learning methods like outlier detection are becoming increasingly more popular as tools in the fight against money laundering. In this thesis, we analyse the Isolation Forest outlier detection algorithm in detail and introduce a new local explanation method for Isolation Forest, the MI-Local-DIFFI (Multiple Indicator Local-DIFFI) method....
master thesis 2020
Searched for: subject%3A%22Anti%255C-Money%255C+Laundering%22
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