Search Results - (( java implication _ algorithm ) OR ( knowledge evaluation tree algorithm ))
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Modeling forest fires risk using spatial decision tree
Published 2011“…This paper presents our initial work in developing a spatial decision tree using the spatial ID3 algorithm and Spatial Join Index applied in the SCART (Spatial Classification and Regression Trees) algorithm. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Investigation of Data Mining Using Pruned Artificial Neural Network Tree
Published 2008“…Two pruning techniques are used with the ANNT algorithm; one is to prune the neural network and another to prune the tree. …”
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An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease
Published 2019“…The improved algorithm built a tree with twenty-seven leaves and forty-seven sizes, which can be converted into the production rules for knowledge base of expert system to diagnose CAD. …”
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Rule extraction from multi-layer perceptron neural network using decision tree for currency exchange rates forecasting
Published 2015“…The results on decision tree induction show that C4.5 algorithm induction produced a significant result in term of accuracy 84.07% - 86.34%, precision and recall 93.17% and 81.97% respectively. …”
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Classification models for higher learning scholarship award decisions
Published 2018“…As a result, the best models were classified into two different categories: The best model classified for ‘Eligible’ status, and the best model classified for ‘Not Eligible’ status. The knowledge obtained from the rules-based model was evaluated through knowledge analysis conducted by technical and domain experts. …”
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Evaluation of fall detection classification approaches
Published 2012“…The algorithms are Multilayer Perceptron, Naive Bayes, Decision tree, Support Vector Machine, ZeroR and OneR. …”
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Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Classification of cervical cancer using random forest
Published 2022“…Model evaluation has been conducted to identify the robust data mining algorithm in the prediction of cervical cancer risk. …”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. …”
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…The algorithm exploits all interests and preferences in a hierarchy tree structure. …”
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Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease
Published 2021“…The sample size was comprised of 55 non-infected trees and 37 infected trees. During the field experiments, oil palm tree samples of non-infected (T0), mild infected (T1), moderate infected (T2), and severe infected (T3) were measured using the FLIR T620 IR infrared thermal imaging camera to obtain the temperature of the oil palm trees. …”
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15
Comparison on machine learning algorithm to fast detection of malicious web pages
Published 2021“…Compared to several decision tree method, Random Forest has shown promising and higher sensitivity result towards malicious data which is 98.3% compared to other classification algorithm…”
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IMPACT OF NUMBER OF ATTRIBUTES ON THE ACCURACY OF HUMAN MOTION CLASSIFICATION
Published 2018“…The impact of the number of attributes on classification accuracy is evaluated via Bayes, Function, Lazy, Meta, Rule and Trees classifier algorithms supported by the WEKA tool. …”
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An Automated System For Classifying Conference Papers
Published 2021“…A randomised stratified 5- fold cross validation was then applied on several data mining algorithms and evaluated using the F-measure as a metric. …”
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Final Year Project / Dissertation / Thesis -
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Feature selection for financial data classification: Islamic finance application
Published 2019“…Feature selection has been widely used in data preprocessing phase to improve the machine learning algorithm and model interpretability. However, there has been limited attention has been given on the evaluation of feature selection methods on its effectiveness to process input data for Induction Decision Tree (IDT). …”
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Proceeding Paper -
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Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim
Published 2023“…Machine learning model selection is an iterative process of exploring, evaluating, and improving algorithms. Selecting an optimal model for a particular domain is rigid, challenging, and complicated. …”
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