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Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
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Algorithm comparison for data mining classification: assessing bank customer credit scoring default risk
Published 2024“…Despite advances in machine learning models for credit assessment, unbalanced datasets and some algorithms’ failure to explain forecasts remain major issues. …”
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Classification models for higher learning scholarship award decisions
Published 2018“…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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A conceptual model for the E-commerce application recommendation framework using exploratory search
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New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Two different models for learning in data sets were proposed based on two different reduction algorithms. …”
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Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation
Published 2020“…To test the effectiveness of the proposed algorithm, the real and generated samples is added to training phase to build a prediction model using M5 Model Tree. …”
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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Classification of cervical cancer using random forest
Published 2022“…By gleaning deeper insights from the data, data mining knowledge has capability to learn from data, identify the patterns with meaningful in that they lead to some advantages in many real-world applications. …”
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Content-based indexing of low resolution documents
Published 2016“…The algorithm has the capability of reducing any shortcoming associated with normalisation in initial fusion technique. …”
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Optimizing tree planting areas through integer programming and improved genetic algorithm
Published 2012“…The algorithmic solution with some strategies mainly focuses on efficiency. …”
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Tree physiology optimization in constrained optimization problem
Published 2018“…Besides of good quality of performance, some metaheuristic algorithms have limitations that may deteriorate by certain degree of difficulties especially in real-world application. …”
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