Search Results - (( associative classification tree algorithm ) OR ( java application optimization algorithm ))
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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. …”
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A Performance Evaluation of Chi-Square Pruning Techniques in Class Association Rules Optimization
Published 2018“…The noisy data affected support value of an itemset and so it influenced the performance of an associative classification. The performance of associative classification is relied on the classification where the classification is worked based on the class association rules which generated from frequent rule mining process. …”
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A Performance Evaluation of Chi-Square Pruning Techniques in Class Association Rules Optimization
Published 2018“…The noisy data affected support value of an itemset and so it influenced the performance of an associative classification. The performance of associative classification is relied on the classification where the classification is worked based on the class association rules which generated from frequent rule mining process. …”
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Accuracy and performance analysis for classification algorithms based on biomedical datasets
Published 2021“…Trees based Decision Tree (ID3) algorithm, Bayesian Theorem based Hidden Naïve Bayes (HNB) algorithm. …”
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Delineating mangrove forest zone using spectral reflectance
Published 2020“…The use of SID and SAM may provide the most promising classification algorithm for improving mangrove species mapping. …”
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Classification of Diabetes Mellitus (DM) using Machine Learning Algorithms
Published 2021“…The objective of this study is to perform DM classification using various machine learning algorithms using Weka as a tool. …”
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Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin
Published 2024“…The key results encompass dataset preprocessing, Decision Tree classification model training, user interface development, and the evaluation of the Decision Tree model's performance. …”
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An enhanced feature selection technique for classification of group based holy Quran verses
Published 2018“…However, the major setbacks with the existing feature selection techniques are high computational runtime associated with wrapper-based FS techniques and low classification accuracy performance associated with filter-based FS techniques. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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A numerical method for frequent pattern mining
Published 2009“…There are two new properties introduced in this method; a novel tree structure called PC_Tree and PC_Miner algorithm. …”
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Classification of Diabetes Mellitus using Ensemble Algorithms
Published 2021“…The objective of this study is to perform DM classification using various machine learning algorithms. …”
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Framework for mining XML format business process log data
Published 2024“…The Random Forest model outperformed others with a classification accuracy of 0.75 for simulation data, while the decision tree achieved the highest accuracy (0.7474) in the BPIC 2017 dataset. …”
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An enhanced feature selection technique for classification of group-based holy quran verses
Published 2018“…However, the major setbacks with the existing feature selection techniques are high computational runtime associated with wrapper-based FS techniques and low classification accuracy performance associated with filter-based FS techniques. …”
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A corrosion prediction model for oil and gas pipeline using CMARPGA
Published 2016“…The decision tree is said optimum in term of the genetic algorithm is used to examine the correlation between a group of association rules instead of using one single rule in predicting a case. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Spectral signature analysis to determine mangrove species delineation structured by anthropogenic effects
Published 2021“…The observed levels of classification accuracy are at 84.95% and 85.21%, respectively for SID and SAM algorithm classification. …”
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