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Phylogenetic tree classification system using machine learning algorithm
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Final Year Project Report / IMRAD -
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First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms
Published 2014“…From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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Conference or Workshop Item -
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Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
Published 2018“…It can be concluded that the algorithm and model proposed were useful for the development of the prototype. …”
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Thesis -
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E4ML: Educational Tool for Machine Learning
Published 2003Get full text
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Conference or Workshop Item -
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Tracking student performance in introductory programming by means of machine learning
Published 2023Conference Paper -
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Mobile Learning: An Application Prototype for AVL Tree Learning Object
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Conference or Workshop Item -
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Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis
Published 2017“…The predictive model was developed using Induction Decision Tree (ID3) algorithm, a popular data mining technique an exploratory tool for knowledge discovery. …”
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Article -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Predictive modelling of student academic performance using machine learning approaches : a case study in universiti islam pahang sultan ahmad shah
Published 2024“…Recently, predictive analytics research has grown in popularity in higher education because it provides helpful information to educators and potentially assists them in enhancing student achievement. …”
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Thesis -
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An artificial intelligence approach to monitor student performance and devise preventive measures
Published 2023“…In addition, the prediction model is transformed into a clear shape to make it easy for the instructor to prepare the necessary precautionary procedures. We developed a set of prediction models with distinct machine learning algorithms. …”
Article -
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A simultaneous spam and phishing attack detection framework for short message service based on text mining approach
Published 2017“…There are five (5) Classification techniques used such as Naive Bayes, K-NN, Decision Tree, Random Tree and Decision Stump. The result of Hybrid Feature accuracy using Rapidminer and Naive Bayes technique is 77.47%, for K-NN: 78.56%, Decision Tree: 57.16%, Random Tree: 57.24% and Decision Stump: 57.16%. …”
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Thesis -
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Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case
Published 2024“…The practical application of this research lies in developing predictive models that inform data- driven decisions by educators and policymakers. …”
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Book Chapter -
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Poverty risk prediction based on socioeconomic factors using machine learning approach
Published 2025“…A secondary dataset that considered 635 households of Terengganu was used, and the following aspects were identified as important indicators of poverty: age, income, education, occupation, and health. Information gain was used in the feature selection and four classification algorithms namely, Logistic Regression, Random Forest, Decision Tree, and Gradient Boosted, were implemented and tested with the incorporation of 10-fold cross-validation and splitting 70:30 in WEKA. …”
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Student Project -
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A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…Its practical value is demonstrated through applications in residential, educational, and commercial buildings across various climate zones. …”
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Article -
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Classification models for higher learning scholarship award decisions
Published 2018“…A dataset of successful and unsuccessful applicants was taken and processed as training data and testing data used in the modelling process. Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
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Article -
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Predicting STEM academic performance in secondary schools: data mining approach
Published 2019“…Three different data mining classification algorithms which are Decision Tree (DT), Artificial Neural Networks (ANN), and Naive Bayes (NB) will be used on the dataset. …”
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Conference or Workshop Item -
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A Systematic Approach to Transform Machine Learning Students� Performance Prediction Model into Preventive Procedures
Published 2023“…The modern day educational institutes are craving novel procedures to utilize the students� data to amplify their prestige and improve the education quality. …”
Conference Paper -
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Beyond Grades - Predicting Programme Learning Outcomes with Multi-Output Regression in Malaysian Higher Education
Published 2025journal-article
