Results 11 to 20 of about 89,998 (265)
Feature selection and association rule learning identify risk factors of malnutrition among Ethiopian schoolchildren [PDF]
Frontiers in Epidemiology, 2023 IntroductionPrevious studies have sought to identify risk factors for malnutrition in populations of schoolchildren, depending on traditional logistic regression methods.
William A. Russel +7 more
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Identifying Patterns of Depression Comorbidities Using Association Rule Learning: Insights from Maryland Medicaid Data [PDF]
Healthcare Informatics ResearchObjectives This study aimed to identify association rules in patients with multiple chronic conditions, with a focus on patterns involving depression, a highly prevalent psychiatric disorder and a significant risk factor for suicide.
Fei Han +3 more
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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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Journal of Big Data, 2022 Association rule learning algorithms have been applied to microarray datasets to find association rules among genes. With the development of microarray technology, larger datasets have been generated recently that challenge the current association rule ...
Haosong Li, Phillip C.-Y. Sheu
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Anomaly detection in business processes using process mining and fuzzy association rule learning
Journal of Big Data, 2020 Much corporate organization nowadays implement enterprise resource planning (ERP) to manage their business processes. Because the processes run continuously, ERP produces a massive log of processes.
Riyanarto Sarno +2 more
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International Journal of Assessment Tools in Education, 2022 This study aims to examine the relations and associations between gender, epistemic curiosity (EC), self-regulated learning (SRL), and attitudes toward e-learning in higher education students.
Ergün Akgün, Seda Sarac, Enisa Mede
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A scalable association rule learning heuristic for large datasets
Journal of Big Data, 2021 Many algorithms have proposed to solve the association rule learning problem. However, most of these algorithms suffer from the problem of scalability either because of tremendous time complexity or memory usage, especially when the dataset is large and ...
Haosong Li, Phillip C.-Y. Sheu
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Optimizing Membership Functions using Learning Automata for Fuzzy Association Rule Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF)
Z. Anari +3 more
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Mathematics, 2023 The generation and analysis of vast amounts of data have become increasingly prevalent in diverse applications. In this study, we propose a novel approach to address the challenge of rule explosion in association rule mining by utilizing the coverage ...
Jamolbek Mattiev +2 more
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Complexity, 2021 This paper first conducts knowledge point association analysis on a large amount of data collected in practical applications. Data mining includes data collection, data preprocessing, actual mining, and result analysis, establishes knowledge point ...
Yanyan Zhang
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