A Comparative Analysis of Unsupervised Learning Techniques for Anomaly Detection in Railway Systems

Macilio da Silva Ferreira, Lucio Flavio Vismari, Paulo Sérgio Cugnasca, Jorge Rady de Almeida Jr., João Batista Camargo Jr., Guilherme Kallemback. A Comparative Analysis of Unsupervised Learning Techniques for Anomaly Detection in Railway Systems. In M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang 0001, Huanjing Wang, Naeem Seliya, editors, 18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019. pages 444-449, IEEE, 2019. [doi]

Abstract

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