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Reference34 articles.
1. Agrawal, R., Srikant, R., others: Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference Very Large Data Bases, VLDB, vol. 1215, pp. 487–499. Citeseer (1994)
2. Boughorbel, S., Jarray, F., El-Anbari, M.: Optimal classifier for imbalanced data using Matthews correlation coefficient metric. PLoS ONE 12(6), e0177678 (2017)
3. Branco, P., Torgo, L., Ribeiro, R.: A survey of predictive modelling under imbalanced distributions. arXiv:1505.01658 [cs], http://arxiv.org/abs/1505.01658 (2015)
4. Bull, L., Kovacs, T.: Foundations of learning classifier systems: an introduction. In: Foundations of Learning Classifier Systems, pp. 1–17. Springer (2005). https://doi.org/10.1007/b100387
5. Chen, T., Guestrin, C.: XGBoost: A scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785–794 (2016)