TY  - GEN 
AU  - Cardona, John F.
AU  - Castaneda, Juliana
AU  - Martins, Leandro do C.
AU  - Gandouz, Mariem
AU  - Juan, Angel A.
AU  - Franco, Guillermo
PY  - 2021
SN  - 978-84-18465-12-3
UR  - http://hdl.handle.net/10259/6876
AB  - This paper discusses a case study in which publicly available data of a rail freight
transportation firm has been gathered, cleansed, and analyzed in order to: (i) describe the
data using statistical indicators and graphs; (ii) identify patterns...
LA  - eng
PB  - Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
KW  - Ferrocarriles
KW  - Railways
KW  - Ingeniería civil
KW  - Civil engineering
KW  - Transporte
KW  - Transportation
TI  - Using Data Analytics & Machine Learning to Design Business Interruption Insurance Products for Rail Freight Operators
DO  - 10.36443/10259/6876
ER  -