Search Results - (( model validation step algorithm ) OR ( miner classification technique algorithm ))
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani
Published 2021“…In model development, Ant-Miner was used which consists of three steps. …”
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Student Project -
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…The algorithm’s performance was compared with other variants of Ant-Miner and state-of-the-art rules-based classification algorithms based on classification accuracy and model complexity. …”
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Rule pruning techniques in the ant-miner classification algorithm and its variants: A review
Published 2018“…Rule-based classification is considered an important task of data classification.The ant-mining rule-based classification algorithm, inspired from the ant colony optimization algorithm, shows a comparable performance and outperforms in some application domains to the existing methods in the literature.One problem that often arises in any rule-based classification is the overfitting problem. …”
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Conference or Workshop Item -
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Ant colony algorithm for web page classification
Published 2008“…The result shows Ant Miner II and proposed preprocessing technique are efficiency in the field of the web page classification.…”
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Conference or Workshop Item -
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A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules
Published 2013“…Previous studies have shown that ACO is a promising machine learning technique to generate classification rules. However, the Ant-miner is less class focused since the rule’s class is assigned after the rule was constructed. …”
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Predicting autistic spectrum disorder for toddler using ant colony optimization / Nur Ibtisyam Zafri
Published 2021“…The Ant-Miner algorithm was used to predict the ASD and was compared with the J48 algorithm. …”
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Student Project -
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Predicting attackers of online shaming using ant colony optimization / Noor Shafiqa Fazlien Mohamad Fauzi
Published 2020“…This study also shows that Ant Colony Optimization is a suitable technique in developing the classification model. Besides, the Ant-Miner algorithm is suitable in this study because it can train the data for many times to obtain the highest percentage of accuracy for developing the classification model to predict the attackers of online shaming. …”
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A new ant based rule extraction algorithm for web classification
Published 2011“…Ant-Miner algorithm is also still lacking in efficiency, accuracy and rule simplicity because of the local minima problem.Therefore, the Ant-Miner algorithm needs to be improved by taking into consideration of the accuracy and rule simplicity criteria so that it could be used to classify Web documents data sets or any large data sets.The best attribute selection method for Web texts categorization is the combination of correlation-based evaluation with random search as the search method.However, this attribute selection method will not give the best performance in attributes reduction. …”
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Monograph -
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An improved ant colony optimization algorithm using the hellinger distance to predict high-dimensional and imbalanced bankruptcy data of shariah-compliant securities in Malaysia
Published 2025“…To overcome this limitation, this study proposes an enhanced Ant Colony Optimization (ACO) classification algorithm, named HDAntMiner, which incorporates Hellinger distance (HD) as a heuristic function. …”
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Crytojacking Classification based on Machine Learning Algorithm
Published 2024journal::journal article -
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Performance of Semi Active Lateral Control (SALC) algorithm for semi active suspension system in multibody co-simulation method / M. M. Abdul Majid ...[et al.]
Published 2018“…New controller algorithm (SALC) was than developed in Matlab/Simulink and integrate with correlated vehicle plant model for handling performance validation against passive suspension and Skyhook. …”
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A numerical method for frequent pattern mining
Published 2009“…The PC_Miner algorithm traverses the PC_Tree by using an efficient pruning technique. …”
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Postsurgery classification of best-corrected visual acuity changes based on Pterygium Characteristics using the Machine Learning Technique
Published 2021“…Conclusion. Machine learning algorithms can produce a highly accurate postsurgery classification model of BCVA changes using pterygium characteristics.…”
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SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…Meanwhile, practitioners who are usually non-experts and lack of statistical knowledge will face difficulties during the modelling process. Hence, algorithm with a step by step guidance is beneficial in model building, testing and selection. …”
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A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…The development of the simulation model consists of seven steps. The steps are problem definition, construct the simulation model, test and validate the model, design the simulation experiments, conduct the simulation experiments, evaluate the result and implement the result. …”
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Structural Equation Modeling Algorithm and Its Application in Business Analytics
Published 2017“…This review article algorithmically discussesthe SEM methodology. SEM strategies, SEM steps and SEM stages are introduced in this article; validity tests are presented os well. …”
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Book Chapter -
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Design and analysis of construction and recombination module using Idury Waterman Algorithm for fragment assembly application / Hafifi Mohd Rafi
Published 2012“…The result of the proposed algorithm, verifies the validity of proposed algorithm.…”
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Thesis
