The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.
Running AMLSim with the default configuration (found in directory paramFiles/1K) results in a dataset where the node with ID 18 has an indegree of 2024 which doesn't match the degree.csv specification found in the configuration directory.
Below is the degree.csv file used in the default configuration.
Running AMLSim with the default configuration (found in directory paramFiles/1K) results in a dataset where the node with ID 18 has an indegree of 2024 which doesn't match the degree.csv specification found in the configuration directory.
Below is the degree.csv file used in the default configuration.
degree.csv