Results 21 to 30 of about 89,998 (265)
Supervised Learning Perspective in Logic Mining
Mathematics, 2022 Creating optimal logic mining is strongly dependent on how the learning data are structured. Without optimal data structure, intelligence systems integrated into logic mining, such as an artificial neural network, tend to converge to suboptimal solution.
Mohd Shareduwan Mohd Kasihmuddin +4 more
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Association Rule Mining Algorithm in College Students’ Quality Evaluation System
Journal of Electrical and Computer Engineering, 2022 An association rule mining algorithm is an algorithm that mines the association between things and is often used to mine the association knowledge between things.
Jing Lei
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International Journal of Interactive Multimedia and Artificial Intelligence, 2022 Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules.
Zohreh Anari +2 more
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Efficient learning of microbial genotype–phenotype association rules [PDF]
Bioinformatics, 2010 AbstractMotivation: Finding biologically causative genotype–phenotype associations from whole-genome data is difficult due to the large gene feature space to mine, the potential for interactions among genes and phylogenetic correlations between genomes.
Norman J, MacDonald, Robert G, Beiko
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Explaining Learned Patterns in Deep Learning by Association Rules Mining
, 2023 This paper proposes a novel approach that combines an association rule algorithm with a deep learning model to enhance the interpretability of prediction outcomes. The study aims to gain insights into the patterns that were learned correctly or incorrectly by the model.
Jiménez Navarro, Manuel Jesús +3 more
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Hidden Pattern Discovery on Clinical Data: an Approach based on Data Mining Techniques [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 In this study, we sought to minimize the need for redundant blood tests in diagnosing common diseases by leveraging unsupervised data mining techniques on a large-scale dataset of over one million patients' blood test results. We excluded non-numeric and
Meysam Roostaee, Razieh Meidanshahi
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Efficiency of Local Learning Rules in Threshold-Linear Associative Networks [PDF]
Physical Review Letters, 2020 We show that associative networks of threshold linear units endowed with Hebbian learning can operate closer to the Gardner optimal storage capacity than their binary counterparts and even surpass this bound. This is largely achieved through a sparsification of the retrieved patterns, which we analyze for theoretical and empirical distributions of ...
Francesca Schönsberg +2 more
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Applied Artificial Intelligence, 2023 Under the mobile computing environment, a large number of convenient mobile terminals and extensive mobile network application services have been produced.
Xiaolei Li
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Association Rules for Understanding Policyholder Lapses
Risks, 2018 For automobile insurance, it has long been implied that when a policyholder made at least one claim in the prior year, the subsequent premium is likely to increase.
Himchan Jeong +2 more
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Informatics in Medicine Unlocked, 2023 The COVID-19 pandemic has a devastating impact globally, claiming millions of lives and causing significant social and economic disruptions. In order to optimize decision-making and allocate limited resources, it is essential to identify COVID-19 ...
Mohammad Dehghani, Zahra Yazdanparast
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