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Predicting Academic Success of College Students Using Machine Learning Techniques
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Associating students and teachers for tutoring in higher education using clustering and data mining
inferredcites →https://doi.org/10.1007/3-540-44938-8_32openalex-snapshot
Ensemble Methods for Noise Elimination in Classification Problems
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Estimating attributes: Analysis and extensions of RELIEF
inferredcites →https://doi.org/10.1007/978-3-319-52162-6_59openalex-snapshot
Information Literacy as a Key to Academic Success: Results from a Longitudinal Study
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Student’s Performance Prediction Using Data Mining Technique Depending on Overall Academic Status and Environmental Attributes
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Feature Selection Using Ensemble Techniques
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Artificial Intelligence in Higher Education and Scientific Research
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Data mining approach to predicting the performance of first year student in a university using the admission requirements
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A data-driven approach to predict first-year students’ academic success in higher education institutions
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Social selection in higher education. Enrolment, dropout and timely degree attainment in Italy
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The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini
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Confidence curves: an alternative to null hypothesis significance testing for the comparison of classifiers
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Predicting University Students’ Academic Success and Major Using Random Forests
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Pre-course student performance prediction with multi-instance multi-label learning
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An insight into imbalanced Big Data classification: outcomes and challenges
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Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation
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A hybrid system with filter approach and multiple population genetic algorithm for feature selection in credit scoring
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Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses
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Enhancing prediction of student success: Automated machine learning approach
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Learning from class-imbalanced data: Review of methods and applications
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Dynamic classifier selection: Recent advances and perspectives
inferredcites →https://doi.org/10.1016/j.inffus.2018.11.008openalex-snapshot
Ensembles for feature selection: A review and future trends
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Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
inferredcites →https://doi.org/10.1016/j.ins.2019.04.052openalex-snapshot
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning
inferredcites →https://doi.org/10.1016/j.knosys.2015.12.006openalex-snapshot
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
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Predicting academic performance by considering student heterogeneity
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Mutual information criterion for feature selection from incomplete data
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Feature selection using Forest Optimization Algorithm
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The use of the area under the ROC curve in the evaluation of machine learning algorithms
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The earth is round (p < .05).
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Predicting success in college: A longitudinal study of achievement goals and ability measures as predictors of interest and performance from freshman year through graduation.
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Statistical significance testing and cumulative knowledge in psychology: Implications for training of researchers.
inferredcites →https://doi.org/10.1080/0952813x.2012.680252openalex-snapshot
Significance tests or confidence intervals: which are preferable for the comparison of classifiers?
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Exogenous and Endogenous Factors Influencing Students' Performance in Undergraduate Accounting Modules
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University student retention: Best time and data to identify undergraduate students at risk of dropout
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An analysis of four missing data treatment methods for supervised learning
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Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision
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An Explainable Model for Identifying At-Risk Student at Higher Education
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Decision Trees for Very Early Prediction of Student's Achievement
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Unsupervised learning based mining of academic data sets for students’ performance analysis
inferredcites →https://doi.org/10.1109/te.2021.3137086openalex-snapshot
MIDFIELD: A Resource for Longitudinal Student Record Research
inferredcites →https://doi.org/10.1109/tkde.2005.66openalex-snapshot
Toward integrating feature selection algorithms for classification and clustering
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Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework
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Exploratory Undersampling for Class-Imbalance Learning
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Early dropout prediction using data mining: a case study with high school students
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A comparative study of machine learning algorithms for virtual learning environment performance prediction
inferredcites →https://doi.org/10.1186/s40561-022-00192-zopenalex-snapshot
Educational data mining: prediction of students' academic performance using machine learning algorithms
inferredcites →https://doi.org/10.1186/s41239-021-00279-6openalex-snapshot
Enhancing data pipelines for forecasting student performance: integrating feature selection with cross-validation
inferredcites →https://doi.org/10.1201/9780429332111-72openalex-snapshot
Feature Selection and Classification – A Probabilistic Wrapper Approach
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Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.1371/journal.pone.0284188openalex-snapshot
Family socioeconomic status and college attendance: A consideration of individual-level and school-level pathways
inferredcites →https://doi.org/10.14569/ijacsa.2019.0100934openalex-snapshot
Utilizing Feature Selection in Identifying Predicting Factors of Student Retention
inferredcites →https://doi.org/10.1515/jacsm-2017-0002openalex-snapshot
Friedman and Wilcoxon Evaluations Comparing SVM, Bagging, Boosting, K-NN and Decision Tree Classifiers
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.22581/muet1982.2002.08openalex-snapshot
The Role of Knowledge Management and Data Mining in Improving Educational Practices and the Learning Infrastructure
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Using Educational Data Mining to Predict Students’ Academic Performance for Applying Early Interventions
inferredcites →https://doi.org/10.3233/faia190051openalex-snapshot
Improve Student Performance Prediction Using Ensemble Model for Higher Education
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The NoiseFiltersR Package: Label Noise Preprocessing in R
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Academic Success Assessment through Version Control Systems
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Predicting Student Dropout and Academic Success
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Predicting Students at Risk of Dropout in Technical Course Using LMS Logs
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Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment
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Contexto universitario, profesores y estudiantes: vínculos y éxito académico
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Students Performance: From Detection of Failures and Anomaly Cases to the Solutions-Based Mining Algorithms
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Predicción del rendimiento académico como indicador de éxito/fracaso de los estudiantes de ingeniería, mediante aprendizaje automático
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Scikit-learn: Machine Learning in Python
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Machine Learning Approaches for Predicting Students’ Intentions to Pursue Higher Education: Insights from Multidimensional Survey Data
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