has been cited by the following article(s):
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[1]
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Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling
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Neurocomputing,
2024 |
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[2]
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Clustering-based Recommendations for Enhancing Students' Academic Performance by Recognizing Prevalent Assessment Method using Exploratory Data …
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Indian Journal of Science and Technology,
2024 |
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[3]
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A Quantitative Comparison of Emotional Intelligence Scores for Generation X and Millennial School Leaders
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2023 |
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[4]
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Factors Affecting Mathematics Achievement: Analysis of Learner Characteristics and Competencies
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2023 Research …,
2023 |
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[5]
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Automatic Classification and Storage System of Container Yard on Account of Mean Clustering Algorithm
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The International Conference on Cyber Security …,
2023 |
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[6]
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WORKFORCE GROUPING IN COMPLETING PROJECTS WITH INTERN WORK ACTIVITY LOG DATA
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VARIANCE: Journal of …,
2023 |
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[7]
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KT-Bi-GRU: Student Performance Prediction with a Bi-Directional Recurrent Knowledge Tracing Neural Network.
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Journal of Educational Data Mining,
2023 |
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[8]
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Unsupervised learning for coherent structure identification in turbulent channel flow
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2023 |
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[9]
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How active are energy actors in the US climate policy subsystem?
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2022 |
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[10]
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KT-Bi-GRU: Student Performance Prediction with a Recurrent Knowledge Tracing Neural Network
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2022 |
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[11]
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Pendekatan Clustering untuk Menganalisis Efisiensi dan Kinerja Mahasiswa Berdasarkan Data Menerapkan Metode K-Means
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JURNAL MEDIA INFORMATIKA …,
2022 |
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[12]
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Practice-Dependent Differences in the Automatization of Literary Arabic (LA) Speech Production
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British Journal of Applied Linguistics,
2022 |
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[13]
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Klasifikasi Data Jamaah Umroh Menggunakan Metode K-Means Clustering
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Jurnal Sistim Informasi dan Teknologi,
2022 |
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[14]
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K-Means cluster optimization for potentiality student grouping using elbow method
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AIP Conference Proceedings,
2022 |
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[15]
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E-orientation system socio-psychological data sensitive
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… on Advanced Aspects of …,
2022 |
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[16]
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Effects of Performance Clustering in User Modelling for Learning Style Knowledge Representation
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2021 |
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[17]
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Penerapan K-Means Clustering dalam Pengelompokan Data (Studi Kasus Profil Mahasiswa Matematika FMIPA UNM)
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[1]
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A data-driven approach to enhance urban infrastructure for sustainable mobility and improved quality of life in highly populated cities. Case study: Barcelona
Frontiers in Built Environment,
2024
DOI:10.3389/fbuil.2024.1439700
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[2]
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Clustering Approach for Modeling Course Difficulty Level in Adaptive Learning
2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA),
2024
DOI:10.1109/CIVEMSA58715.2024.10639956
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[3]
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Studying the Impact of Changing Consumer Behavior During Crisis Periods Through Store Classification
International Journal of Computational Intelligence Systems,
2024
DOI:10.1007/s44196-024-00694-3
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[4]
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Factors Affecting Mathematics Achievement: Analysis of Learner Characteristics and Competencies
2023 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C),
2023
DOI:10.1109/RI2C60382.2023.10356027
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[5]
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K-Means cluster optimization for potentiality student grouping using elbow method
THE 3RD INTERNATIONAL CONFERENCE ON ENGINEERING AND APPLIED SCIENCES (THE 3rd InCEAS) 2021,
2022
DOI:10.1063/5.0108926
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[6]
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Advances and Trends in Artificial Intelligence. From Theory to Practice
Lecture Notes in Computer Science,
2021
DOI:10.1007/978-3-030-79463-7_11
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