Results 1 to 10 of about 3,089 (222)
IEEE AccessNumerical 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 +4 more
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A variable-length multi-objective harmony search algorithm for numerical association rule mining
Journal of King Saud University: Computer and Information SciencesAssociation 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 +5 more
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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
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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 +2 more
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Time series numerical association rule mining variants in smart agriculture
Journal of Ambient Intelligence and Humanized Computing, 2023 AbstractNumerical association rule mining offers a very efficient way of mining association rules, where algorithms can operate directly with categorical and numerical attributes. These methods are suitable for mining different transaction databases, where data are entered sequentially.
Iztok Fister +2 more
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The rule extraction of numerical association rule mining using hybrid evolutionary algorithm
Proceeding of the Electrical Engineering Computer Science and Informatics, 2017 The topic of Particle Swarm Optimization (PSO) has recently gained popularity. Researchers has used it to solve difficulties related to job scheduling, evaluation of stock markets and association rule mining optimization. However, the PSO method often encounters the problem of getting trapped in the local optimum.
Tahyudin, Hidetaka Nambo
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Mining optimized association rules for numeric attributes [PDF]
Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Takeshi Fukuda +3 more
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Numerical Association Rule Mining: A Systematic Literature Review
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. Initially, researchers and scientists integrated numerical attributes in association rule mining using various discretization approaches; however, over time, a
Minakshi Kaushik +3 more
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Parallel Independent Probability Fully Weighted Association Rule Mining Algorithm
Journal of Harbin University of Science and Technology, 2023 Association rule mining is mainly used to discover knowledge hidden in the data. Weighted association rule mining can mine rules with different importance of the project more effectively.
LI Cheng yan +3 more
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Mining Temporal Association Rules with Temporal Soft Sets
Journal of Mathematics, 2021 Traditional association rule extraction may run into some difficulties due to ignoring the temporal aspect of the collected data. Particularly, it happens in many cases that some item sets are frequent during specific time periods, although they are not ...
Xiaoyan Liu +5 more
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