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. Babcock, B., Datar, M., Motwani, R.: Sampling from a moving window over streaming data. In: Proceedings of 13th Annual ACM-SIAM Symposium on Discrete Algorithms (2002)
4. Beckham, C., Frank, E.: Class Dl4jMlpClassifier. WEKA Documentation, University of Waikato. https://weka.sourceforge.io/doc.packages/wekaDeeplearning4jCore/weka/classifiers/functions/Dl4jMlpClassifier.html. Accessed 25 June 2020
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 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)