AML Scenario Results on Large-Scale Cases

5.5 KB of tabular results from a first scenario testing an Anti-Money Laundering (AML) system on large-scale cases. The dataset, authored by Zahra Samadi Bahrami, is available under a CC-BY-4.0 license and was last updated on May 29, 2026. Its small size suggests it likely contains summary metrics or aggregated outputs from the simulation.

Use Cases

• Benchmarking AML system performance based on scenario results
• Analyzing detection patterns for large-scale financial cases
• Training or validating machine learning models for AML alert prioritization

Strengths

• Dataset is openly licensed under CC-BY-4.0, allowing for broad reuse.
• File size is precisely 5.5 KB, indicating a focused and manageable scope.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Zahra Samadi Bahrami

Freshness

Last updated 2026-05-29 17:49:01; freshness should be verified.