Machine Learning and Customs Fraud Analytics in Customs (English)

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Author

World Bank;
Document Date
2022/05/19
Document Type
Working Paper
Report Number
173245
Volume No
1
Country
Caucasus,
Region
Europe and Central Asia,
Disclosure Date
2022/06/29
Disclosure Status
Disclosed
Doc Name
Machine Learning and Customs Fraud Analytics in Customs

Language

English

Rel. Proj ID

7X-FY22 Governance in the South Caucasus -- P177565

Major Sector

FY17 - Public Administration

Theme

FY17 - E-Government, incl. e-services,FY17 - Rule of Law,FY17 - Public Administration,FY17 - ICT,FY17 - Financial Sector Integrity,FY17 - ICT Solutions,FY17 - State-owned Enterprise Reform and Privatization,FY17 - Judicial and other Dispute Resolution Mechanisms,FY17 - Financial Stability

Sector

FY17 - Central Government (Central Agencies)

Topics

Risk Assessment Framework,

Unit Owning

EFI-ECA-GOV-FM & PS-1 (EECG1)

Version Type

Final

Product Line

Advisory Services & Analytics

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Citation

World Bank.

Machine Learning and Customs Fraud Analytics in Customs (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/099620406292240740

Machine Learning and Customs Fraud Analytics in Customs (English)

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