GitHub

ModalAssociationRules.jl

The package is developed by the ACLAI Lab @ University of Ferrara.

ModalAssociationRules.jl lives in the context of Sole.jl, an open-source framework for symbolic machine learning, originally designed for machine learning based on modal logics (see Eduard I. Stan's PhD thesis "Foundations of Modal Symbolic Learning" here).

Algorithm References

Intrees

Deng, H. (2019). Interpreting tree ensembles with intrees. International Journal of Data Science and Analytics, 7(4), 277-287.

Born-Again Tree

  • Breiman, L. Born AgainTrees. Unpublished. Available at: https://www.stat.berkeley.edu/
  • Thibaut, V. Born-Again Tree Ensembles. arXiv preprint. Available at: https://arxiv.org/pdf/2003.11132

RuleCosi+

Obregon, J. (2022). RuleCOSI+: Rule extraction for interpreting classification tree ensembles. Information Fusion, 89, 355-381. Available at: https://www.sciencedirect.com/science/article/pii/S1566253522001129

REFNE

Zhou, Z. (2003). Extracting Symbolic Rules from Trained Neural Network Ensembles. AI Communications, 16, 3-15.

TREPAN

Craven, M. (1995). Extracting Tree-Structured Representations of Trained Networks. In Proceedings of the 8th Annual Conference on Advances in Neural Information Processing Systems (Vol. 8, pp. 25-30).