Source File for TBML: A Hybrid Framework for Trade-Based Money Laundering Detection

Source File for TBML is a dataset supporting a hybrid machine learning framework for detecting trade-based money laundering. The dataset's author, size, and specific contents are not detailed in the provided metadata. It is hosted on the Kaggle platform.

Use Cases

• Training a hybrid machine learning model for TBML detection based on the described framework.
• Benchmarking anomaly detection algorithms against trade transaction data.
• Researching patterns and features indicative of trade-based money laundering.

Strengths

• The dataset is associated with a specific, named research framework for detecting trade-based money laundering.
• It is hosted on Kaggle, a platform with established data sharing and community features.

Limitations

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

Provenance

Source

Kaggle

Collection Method

The description suggests it was created to support a specific machine learning framework, but the exact collection method is unknown.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

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