1. Adams, R.P., MacKay, D.J.: Bayesian online changepoint detection. Technical report, University of Cambridge, Cambridge, UK (2007)
2. Aminikhanghahi, S., Cook, D.J.: A survey of methods for time series change point detection. Knowl. Inf. Syst. 51(2), 339–367 (2016).
https://doi.org/10.1007/s10115-016-0987-z
3. Amit, I., Matherly, J., Hewlett, W., Xu, Z., Meshi, Y., Weinberger, Y.: Machine learning in cyber-security—problems, challenges and data sets. In: The AAAI-19 Workshop on Engineering Dependable and Secure Machine Learning Systems (2019)
4. Baena-Garcia, M., Campo-Avila, J.D., Fidalgo, R., Bifet, A., Gavalda, R., Morales-Bueno, R.: Early drift detection method. In: 4th International Workshop on Knowledge Discovery from Data Streams (2006)
5. Basseville, M., Nikiforov, I.V.: Detection of Abrupt Changes – Theory and Application. Prentice-Hall, Upper Saddle River (1993)