Account, invoice, and transaction records intended for abnormal audit detection. The dataset's author, organization, and specific scale are unknown. It is hosted on Kaggle, but its last update date is not provided.
Use Cases
- Train anomaly detection models based on transaction records.
- Build classifiers to flag abnormal invoices based on invoice data.
- Develop audit risk scoring systems based on account-level features.
Strengths
- Focuses on a specific application: detecting abnormal audit events.
- Contains multiple relevant record types: accounts, invoices, and transactions.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.