Results 191 to 200 of about 3,102 (223)
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TinyNARM: Simplifying Numerical Association Rule Mining for Running on Microcontrollers
Lecture Notes in Networks and Systems, 2023Iztok 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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Toward Anomaly Detection in the Blockchain Using Numerical Association Rule Mining
2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY), 2023Renata Kramberger +2 more
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Toward Reusing the Numerical Association Rule Mining Models
2021Nowadays, 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 ...
Iztok Fister Jr. +3 more
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Time Series Numerical Association Rule Mining for assisting Smart Agriculture
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022Iztok Fister, Sancho Salcedo-Sanz
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Mining optimized association rules with categorical and numeric attributes
Proceedings 14th International Conference on Data Engineering, 2002Association 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
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Improved Nature-Inspired Algorithms for Numeric Association Rule Mining
2021Nowadays, 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. +2 more
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Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes
Lecture Notes in Computer Science, 2018Association rule mining is a method for identification of dependence rules between features in a transaction database. In the past years, researchers applied the method using features consisting of categorical attributes. Rarely, numerical attributes were used in these studies.
Iztok Fister +2 more
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Multi-objective bat algorithm for mining numerical association rules
International Journal of Bio-Inspired Computation, 2018Numerical association rule mining problem attracts the attention of researchers because of the various applications and its importance in our world with the fast growth of the stored data. ARM is computationally very expensive because the number of rules grows exponentially as the number of items in the database increases.
Kamel Eddine Heraguemi +2 more
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An Adaptive Method of Numerical Attribute Merging for Quantitative Association Rule Mining
Lecture Notes in Computer Science, 1999Mining quantitative association rules is an important topic of data mining since most real world databases have both numerical and categorical attributes. Typical solutions involve partitioning each numerical attribute into a set of disjoint intervals, interpreting each interval as an item, and applying standard boolean association rule mining ...
Jiuyong Li, Topor Rodney
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