| Naslov: | Variable-length differential evolution for numerical and discrete association rule mining |
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| Avtorji: | ID Mlakar, Uroš (Avtor)
ID Fister, Iztok (Avtor)
ID Fister, Iztok (Avtor) |
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| Datoteke: |  Variable-Length_Differential_Evolution_for_Numerical_and_Discrete_Association_Rule_Mining.pdf (2,39 MB)
MD5: 2B61B6274D0263F7D2ABA60AE26D1013
 https://ieeexplore.ieee.org/document/10376180
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Članek v reviji |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
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| Opis: | 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. |
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| Ključne besede: | association rule mining, differential evolution, data mining, variable-lenght solution representation, green AI |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 24.11.2023 |
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| Datum sprejetja članka: | 27.12.2023 |
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| Datum objave: | 29.12.2023 |
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| Založnik: | Institute of Electrical and Electronics Engineers (IEEE) |
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| Leto izida: | 2023 |
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| Št. strani: | str. 4239-4254 |
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| Številčenje: | Vol. 12 |
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| PID: | 20.500.12556/DKUM-86784  |
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| UDK: | 004.8 |
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| COBISS.SI-ID: | 181528835 |
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| DOI: | 10.1109/ACCESS.2023.3348408 |
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| ISSN pri članku: | 2169-3536 |
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| Avtorske pravice: | 2023 The Authors |
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| Datum objave v DKUM: | 18.01.2024 |
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| Število ogledov: | 534 |
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| Število prenosov: | 42 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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