Results 11 to 20 of about 92,800 (264)
Benchmarking Hebbian learning rules for associative memory
CoRR, 2023 Associative memory or content addressable memory is an important component function in computer science and information processing and is a key concept in cognitive and computational brain science. Many different neural network architectures and learning rules have been proposed to model associative memory of the brain while investigating key functions
Anders Lansner +2 more
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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.
M. J. Jiménez-Navarro +3 more
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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
doaj +1 more source
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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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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Mining association rules in learning management systems
2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 Learning management systems collect huge amounts of data that can later be analysed. The University of Rijeka uses MudRi e-learning system, which is based on the Moodle open source software. This paper focuses on the Programming course, for which data over several years are available.
M. Perusic Hrzenjak +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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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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Finding Influential Users in Social Media Using Association Rule Learning
Entropy, 2016 Influential users play an important role in online social networks since users tend to have an impact on one other. Therefore, the proposed work analyzes users and their behavior in order to identify influential users and predict user participation ...
Fredrik Erlandsson +3 more
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