Search Results - (( java implication based algorithm ) OR ( software decision tree algorithm ))
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Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…Using 10-fold cross validation for each algorithm, it was found that decision tree was the best algorithm with 83.6944% correctness. …”
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Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image
Published 2014“…The decision tree results were implemented in eCognition software to provide an effective and fast generation of semantic network in OBIA.…”
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Classification Algorithms to Determine Students’ Specialization in a Higher Education Institution
Published 2023“…After that, we looked at how Python programming classification algorithms like Support Vector Machine (SVM), Naïve Bayes, Random Forest, and Decision Tree performed in classifying the areas of specialization of the students. …”
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Software effort estimation using machine learning technique
Published 2023“…In order to better effectively evaluate predictions, this study recommends various machine learning algorithms for estimating, including k-nearest neighbor regression, support vector regression, and decision trees. …”
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Decision Tree: Customer churn analysis for a loyalty program using data mining algorithm
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Knowledge of extraction from trained neural network by using decision tree
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Hybrid Neural Network and Decision Tree for for Exchange Rates Forecasting
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Detection and classification of conflict flows in SDN using machine learning algorithms
Published 2021“…As a result, this paper presents several machine learning algorithms that include Decision Tree (DT), Support Vector Machine (SVM), Extremely Fast Decision Tree (EFDT) and Hybrid (DT-SVM) for detecting and classifying conflicting flows in SDNs. …”
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Accuracy and performance analysis for classification algorithms based on biomedical datasets
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Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman
Published 2022“…Besides, to test the accuracy of detection models on keylogger dataset comparing two machine learning algorithms. This study is carried out through the utilisation of two machine learning techniques, namely Decision Tree and Naive Bayes, on Jupyter Notebook in order to conduct an analysis of the Keylogger Detection dataset obtained from a trustworthy website known as Kaggle. …”
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Comparing the knowledge quality in rough classifier and decision tree classifier
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Defect green coffee bean detection using image recognition and supervised learning
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Edge assisted crime prediction and evaluation framework for machine learning algorithms
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Pixel-based feature for android malware family classification using machine learning algorithms
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Detection of eye movements based on EEG signals and the SAX algorithm
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