Results 1 to 10 of about 11,335,082 (272)

An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining

IEEE Access
Numerical association rule mining (NARM) is an extended version of association rule mining that determines association rules in numerical data items through distribution, discretization, and optimization methods.
Minakshi Kaushik, Rahul Sharma, Pilleriin Koiva, Iztok Fister, Dirk Draheim   +4 more
doaj   +5 more sources

A variable-length multi-objective harmony search algorithm for numerical association rule mining

Journal of King Saud University: Computer and Information Sciences
Association rule extraction is a critical research domain in data mining. However, discovering generalizable and positively correlated association rules from numerical datasets via metaheuristic algorithms remains a significant challenge.
Zhixia Gu, Wen Shi, Jingyu Zhang, Guoxia Li, Yueyue Li, Zihan Kou   +5 more
doaj   +4 more sources

Numerical Association Rule Mining: A Systematic Literature Review [PDF]

CoRR, 2023
Numerical association rule mining is a widely used variant of the association rule mining technique, and it has been extensively used in discovering patterns and relationships in numerical data.
Minakshi Kaushik, Rahul Sharma, I. Fister, D. Draheim   +3 more
semanticscholar   +4 more sources

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

Mathematics
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 ...
Iztok Fister, Sancho Salcedo-Sanz, Enrique Alexandre-Cortizo, Damijan Novak, Iztok Fister, Vili Podgorelec, Mario Gorenjak   +6 more
doaj   +4 more sources

Numerical Association Rule Mining from a Defined Schema Using the VMO Algorithm [PDF]

Applied Sciences, 2021
Association rule mining has been studied from various perspectives, all of which have made valuable contributions to data science. However, there are promising research lines, such as the inclusion of continuous variables and the combination of numerical
Iván Fredy Jaramillo, Javier Garzás, Andrés Redchuk   +2 more
doaj   +4 more sources

Time series numerical association rule mining variants in smart agriculture [PDF]

Journal of Ambient Intelligence and Humanized Computing, 2022
Numerical association rule mining offers a very efficient way of mining association rules, where algorithms can operate directly with categorical and numerical attributes.
I. Fister, D. Fister, I. Fister, V. Podgorelec, S. Salcedo-Sanz   +4 more
semanticscholar   +7 more sources

Variable-Length Differential Evolution for Numerical and Discrete Association Rule Mining

IEEE Access, 2023
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 ...
Uros Mlakar, Iztok Fister, Iztok Fister
doaj   +4 more sources

A Multi-Objective Nutcracker Optimization Algorithm Based on Cubic Chaotic Map for Numerical Association Rule Mining

Applied Sciences
Traditional numerical association rule mining optimization algorithms have limitations in handling discrete attributes, and they are susceptible to becoming trapped in local optima, uneven population distribution, and poor convergence.
Qiwei Hu, Shengbo Hu, Mengxia Liu
doaj   +2 more sources

niarules: Advancing interpretable machine learning through numerical association rule mining and 3D coral plot visualization

SoftwareX
Numerical association rule mining remains comparatively underexplored in interpretable machine learning, largely due to the challenges of handling continuous variables and the limited availability of effective visualization techniques.
Iztok Fister Jr, Gerlinde Emsenhuber, Jan Hendrik Plümer, Iztok Fister, Andreas Holzinger   +4 more
doaj   +2 more sources

NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines

Mathematics
Numerical Association Rule Mining (NARM), which simultaneously handles both numerical and categorical attributes, is a powerful approach for uncovering meaningful associations in heterogeneous datasets.
Uroš Mlakar, Iztok Fister, Iztok Fister
doaj   +2 more sources