Learning from past data and experience to improve the detection of anomalies in customs declarations

Additional Metadata
Keywords	customs, anomalies, expert rules, Machine learning, Autoencoders
Thesis Advisor	Daniels, Hennie, Hendrikse, George
Persistent URL	hdl.handle.net/2105/40869
Series	Supply Chain Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Chevignard, Marguerite. (2017, August 31). Learning from past data and experience to improve the detection of anomalies in customs declarations. Supply Chain Management. Retrieved from http://hdl.handle.net/2105/40869

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