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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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A data mining approach to construct graduates employability model in Malaysia
Published 2011“…This study is to construct the Graduates Employability Model using classification task in data mining. To achieve it, we use data sourced from the Tracer Study, a web-based survey system from the Ministry of Higher Education, Malaysia (MOHE) for the year 2009. …”
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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Exploring c Environment (S/O: 12826)
“…Two novel works are expected from this research. First, we study a complex university examination timetabling problem in a higher education institution which involved real-world complicated constraints. …”
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study
Published 2024“…Conclusion: The findings demonstrated the application of ML algorithms and PCC to predict dental students’ academic performance. …”
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Classification models for higher learning scholarship award decisions
Published 2018“…The knowledge obtained from the rules-based model was evaluated through knowledge analysis conducted by technical and domain experts. …”
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Density subspace clustering: a case study on perception of the required skill
Published 2014“…The study used multidimensional data, such as benchmark datasets and real datasets. Real datasets are from education, particularly regarding the perception of students’ industrial training and from industries due to required skill. …”
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A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal
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Solving vehicle routing problem by using improved genetic algorithm for optimal solution
Published 2023Article -
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Determining Suitable Program For SPM Holder Using Neural Network Approach
Published 2002“…The sample data has been collected from 4 study programs in four Ministry of Education Matriculation Centre, from UiTM and Shahputra College. …”
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Enhancing fairness and efficiency in teacher placement based on staff placement model: an intelligent teacher placement selection model for Ministry of Education Malaysia
Published 2025“…The effectiveness of ITPS was evaluated using five machine learning algorithms: J48, Decision Tree, Naïve Bayes, Random Forest, and K-Nearest Neighbors. …”
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. The collected data from LinkedIn profiles then undergoes data preprocessing. …”
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Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.]
Published 2022“…Regardless of its usefulness and practicality, the educational technologies adoption has its challenges faced by educators. …”
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Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization
Published 2008“…The estimation fundamental frequency is performed with Harmonic Product Spectrum (HPS) algorithm, whilst MFCC is calculated using Discrete Cosine Transform, then, is modeled with Vector Quantization to compress the size of data to be processed and to assist identification.…”
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Imbalanced Classification Methods for Student Grade Prediction : A Systematic Literature Review
Published 2023“…The study also presents the most common balancing methods published from 2015 to 2021 and highlights their impact on resolving imbalanced classification in three approaches: data-level, algorithm-level, and hybrid-level. …”
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A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
Published 2023“…To address this issue, we proposed a novel algorithm called F-Emotion to select speech emotion features and established a parallel deep learning model to recognize different types of emotions. …”
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