Reference: Hahsler M. in Karpienko R. (2017). Visualizing association rules in hierarchical groups, Journal of Business Economics, 87, 3, str. 317–335, https://doi.org/10.1007/s11573-016-0822-8.
Reference: Fister Ml. I., Fister D., Iglesias A., Galvez A., Osaba E., Del Ser J. in Fister I. (2020). Visualization of Numerical Association Rules by Hill Slopes. V: Analide, C., Novais, P., Camacho, D., Yin, H. (ur.), Intelligent Data Engineering and Automated Learning – IDEAL 2020. IDEAL 2020. Lecture Notes in Computer Science(), vol 12489. Springer, Cham., str. 101-111, https://doi.org/10.1007/978-3-030-62362-3_10.
Reference: Fister Ml. I., Fister I., Fister D., Podgorelec V. in Salcedo-Sanz S. (2023). A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas. Expert Systems Applications, 233, str. 120901, https://doi.org/10.1016/j.eswa.2023.120901.
Reference: Fister Ml. I., Fister I., Fister D., Podgorelec V. in Salcedo-Sanz S. (2023). A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas. Expert Systems Applications, 233, str. 120901, https://doi.org/10.1016/j.eswa.2023.120901.
Reference: Fister Ml. I., Fister I., Fister D., Podgorelec V. in Salcedo-Sanz S. (2023). A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas. Expert Systems Applications, 233, str. 120901, https://doi.org/10.1016/j.eswa.2023.120901.




