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A brief overview of swarm intelligence-based algorithms for numerical association rule mining [PDF]

arXiv.org, 2020
Numerical Association Rule Mining is a popular variant of Association Rule Mining, where numerical attributes are handled without discretization. This means that the algorithms for dealing with this problem can operate directly, not only with categorical,
I. Fister
semanticscholar   +3 more sources

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Timestamp interestingness measure for time series numerical association rule mining

2026 IEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI)
Nowadays, Numerical Association Rule Mining methods, where most of them are based on population-based bio-inspired algorithms, represent a fruitful direction for extracting knowledge from transaction databases. Recently, Numerical Association Rule Mining
Tilen Hlis, I. Fister, U. Mlakar, Iztrok Fister   +3 more
semanticscholar   +2 more sources

A new evolutionary optimization based on multi-objective firefly algorithm for mining numerical association rules

Soft Computing
Hamid Mirvaziri
exaly   +4 more sources

Toward Reusing the Numerical Association Rule Mining Models

Soft Computing Models in Industrial and Environmental Applications, 2021
Nowadays, it is no secret that modern machine learning methods are amongst the more computationally-intensive learning methods. The rise in the applications of computationally-intensive deep learning, automated machine learning methods, and even metaheuristics for optimization, have increased the consumption of electrical energy dramatically ...
I. Fister, Andrés Iglesias, A. Gálvez
semanticscholar   +3 more sources

The Combination of Evolutionary Algorithm Method for Numerical Association Rule Mining Optimization

Advances in Intelligent Systems and Computing, 2017

exaly   +2 more sources

Discovery of fault-introducing tool groups with a numerical association rule mining method in a printed circuit board production line

International Journal of Production Research, 2023
Large-scale manufacturers aim to reduce the number of faulty products by finding tools or process factors that cause product faults through tool monitoring. The causes of faulty electronic components such as semiconductor chips and printed circuit boards
Yeonju Lee, Young-Joon Kim, Bogyeong Lee, C. Kim   +3 more
semanticscholar   +1 more source

Sustainable development goals for gender equality: Extracting associations among the indicators of SDG 5 using numerical association rule mining

Journal of Intelligent & Fuzzy Systems, 2022
The United Nations prescribed the Sustainable Development Goals (SDGs) to various nations to provide enduring answers to widespread problems and to give long-lasting solutions to common issues being faced across the globe.
Munish Saini, S. Adebayo, H. Singh, Harpreet Singh, Suchita Sharma   +4 more
semanticscholar   +1 more source

Mining optimized association rules with categorical and numeric attributes

Proceedings 14th International Conference on Data Engineering, 2002
Association rules are useful for determining correlations between attributes of a relation and have applications in marketing, financial and retail sectors. Furthermore, optimized association rules are an effective way to focus on the most interesting characteristics involving certain attributes.
Rajeev Rastogi, Kyuseok Shim
openaire   +1 more source

Improved Nature-Inspired Algorithms for Numeric Association Rule Mining

2021
Nowadays, only a few papers exist dealing with Association Rule Mining with numerical attributes. When we are confronted with solving this problem using nature-inspired algorithms, two issues emerge: How to shrink the values of the upper and lower bounds of attributes properly, and How to define the evaluation function properly?
Iztok Fister Jr., Vili Podgorelec, Iztok Fister 0001   +2 more
openaire   +2 more sources

The Rules Determination of Numerical Association Rule Mining Optimization by Using Combination of PSO and Cauchy Distribution

, 2017
The numerical problem of association rule mining is an updated issue. Numerous authors propose some methods to solved it. A number of them are using the optimization approach by Particle Swarm Optimization (PSO). The problem is that the PSO trapped in local optima when searched the best particle in every iteration.
Imam Tahyudin, Hidetaka Nambo
semanticscholar   +2 more sources