20.500.12556/DKUM-86784 Variable-length differential evolution for numerical and discrete association rule mining This paper proposes a variable-length Differential Evolution for Association Rule Mining. The proposed algorithm includes a novel representation of individuals, which can encode both numerical and discrete attributes in their original or absolute complement of the original intervals. The fitness function used is comprised of a weighted sum of Support and Confidence Association Rule Mining metrics. The proposed algorithm was tested on fourteen publicly available, and commonly used datasets from the UC Irvine Machine Learning Repository. It is also compared to the nature inspired algorithms taken from the NiaARM framework, providing superior results. The implementation of the proposed algorithm follows the principles of Green Artificial Intelligence, where a smaller computational load is required for obtaining promising results, and thus lowering the carbon footprint. association rule mining differential evolution data mining variable-lenght solution representation green AI diferencialna evolucija podatkovno rudarjenje predstavitev rešitev true true true Institute of Electrical and Electronics Engineers (IEEE) Angleški jezik Slovenski jezik https://ieeexplore.ieee.org/ 2023 The Authors Članek v reviji 2024-01-18 11:44:07 2024-01-18 11:44:08 2024-06-14 03:25:09 0000-00-00 00:00:00 2023 0 0 str. 4239-4254 Vol. 12 29 Dec. 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2023-11-24 2023-12-27 2023-12-29 004.8 181528835 10.1109/ACCESS.2023.3348408 2169-3536 Variable-Length_Differential_Evolution_for_Numerical_and_Discrete_Association_Rule_Mining.pdf Variable-Length_Differential_Evolution_for_Numerical_and_Discrete_Association_Rule_Mining.pdf 1 2B61B6274D0263F7D2ABA60AE26D1013 1d30104d6d57699fd42e3554c4f4b9752feae058a8b8cce1c6fa4498bbe8ca5c 13d9c8dd-2960-11ef-9d59-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=180511 https://ieeexplore.ieee.org/document/10376180 0 1bb6597d-2960-11ef-9d59-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=180512 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0