Search Results - (( its application mining algorithm ) OR ( _ application ((bees algorithm) OR (bayes algorithm)) ))
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Sentiment Analysis on Users' Satisfaction for Mobile Banking Apps in Malaysia
Published 2022“…The best accuracy result shows 94.37% by the Decision Tree algorithm, and Naïve Bayes obtained the worst outcome at 66%.…”
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Article -
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Data normalization techniques in swarm-based forecasting models for energy commodity spot price
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Conference or Workshop Item -
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An Automated System For Classifying Conference Papers
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Final Year Project / Dissertation / Thesis -
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Enhanced mechanism to handle missing data of Hadith classifier
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Proceeding Paper -
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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Sentiment analysis of customer review for Tina Arena Beauty
Published 2025“…Three machine learning algorithms Naive Bayes, Random Forest, and Support Vector Machine (SVM) were evaluated, and SVM achieved the highest accuracy and was selected as the final classifier. …”
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Student Project -
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Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. …”
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Conference or Workshop Item -
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Modifying iEclat algo ithm for infrequent patterns mining
Published 2018“…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. …”
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Conference or Workshop Item -
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Text Categorization Using Naive Bayes Algorithm
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Thesis -
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Using the bees algorithm to optimise a support vector machine for wood defect classification
Published 2007“…This paper describes a new application of the Bees Algorithm to the optimization of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. …”
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Conference or Workshop Item -
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Application of the bees algorithm to the selection features for manufacturing data
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Text categorization using naive bayes algorithm
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Application of Bee Colony Optimization (BCO) in NP-Hard Problems
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Final Year Project -
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…Since rerunning mining algorithms from scratch is very costly and time-consuming, researchers have introduced interactive mining of frequent patterns. …”
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Article -
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Optimal design of step – cone pulley problem using the bees algorithm
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Book Chapter -
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Application of the Bees Algorithm to find optimal drill path sequence
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Proceeding Paper
