Approach to Assist in the Discovery of Railway Accident Scenarios Based on Supervised Learning

Author:

Habib Hadj-MabroukORCID

Publisher

Springer Nature Singapore

Reference30 articles.

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3. Li, J., Wang, J., Xu, N., Hu, Y., Cui, C.: Importance degree research of safety risk management processes of urban rail transit based on text mining method. J. Inf. 9(2), 26 (2018)

4. Hayward, V.: Big Data and the Digital Railway (2018). Available from: https://on-trac.co.uk/big-data-digital-railway/

5. Williams, T., Betakbc, J.: A comparison of LSA and LDA for the analysis of railroad accident text. Procedia Comput. Sci. 130, 98–102 (2018)

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