Toward Explainable Time-Series Numerical Association Rule Mining: A Case Study in Smart-Agriculture

Iztok Fister (), Sancho Salcedo-Sanz, Enrique Alexandre-Cortizo, Damijan Novak, Iztok Fister, Vili Podgorelec and Mario Gorenjak
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Iztok Fister: Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia
Sancho Salcedo-Sanz: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain
Enrique Alexandre-Cortizo: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain
Damijan Novak: Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia
Iztok Fister: Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia
Vili Podgorelec: Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia
Mario Gorenjak: Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska Ulica 8, 2000 Maribor, Slovenia

Mathematics, 2025, vol. 13, issue 13, 1-18

Abstract: This paper defines time-series numerical association rule mining in smart-agriculture applications from an explainable-AI perspective. Two novel explainable methods are presented, along with a newly developed algorithm for time-series numerical association rule mining. Unlike previous approaches, such as fixed interval time-series numerical association, the proposed methods offer enhanced interpretability and an improved data science pipeline by incorporating explainability directly into the software library. The newly developed xNiaARMTS methods are then evaluated through a series of experiments, using real datasets produced from sensors in a smart-agriculture domain. The results obtained using explainable methods within numerical association rule mining in smart-agriculture applications are very positive.

Keywords: association rule mining; explainable artificial intelligence (XAI); numerical association rule mining; optimization algorithms (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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