1. Abellán, J., Moral, S.: Building classification trees using the total uncertainty criterion. Int. J. Intell. Syst. 18(12), 1215–1225 (2003)
2. Aha, D., Kibler, D.: Instance-based learning algorithms. Mach. Learn. 6, 37–66 (1991)
3. Alcock, R.J., Manolopoulos, Y.: Time-series similarity queries employing a feature-based approach. In: Proceedings of 7th Hellenic Conference on Informatics, Ioannina, Greece, 27–29 August 1999
4. Beckham, C., Frank, E.: Class Dl4jMlpClassifier. WEKA Documentation, University of Waikato
5. Berti, A., van Zelst, S.J., van der Aalst, W.M.P.: Process mining for python (PM4Py): bridging the gap between process-and data science. In: Proceedings of the ICPM Demo Track 2019, Co-located with 1st International Conference on Process Mining (ICPM 2019), Aachen, Germany, 24–26 June 2019, pp. 13–16 (2019)