Search Results - (( java implications bees algorithm ) OR ( framework implementation bayes algorithm ))

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  1. 1
    Sentiment analysis on airline reviews using Naive Bayes / Nurul Sarah Aliessa Che Harun

    Sentiment analysis on airline reviews using Naive Bayes / Nurul Sarah Aliessa Che Harun by Che Harun, Nurul Sarah Aliessa

    Published 2025
    “…In the design and implementation phases, TF-IDF was considered in cleaning and preparing the reviews for application, while the construction of a sentiment analysis model was implemented through the use of the Multinomial Naive Bayes algorithm. …”
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  2. 2
    Travel Booking Analysis and Prediction for NZ Malaya using predictive analytics

    Travel Booking Analysis and Prediction for NZ Malaya using predictive analytics by Mohd Fauzi, Noor Fatin Natasha

    Published 2025
    “…For the three prediction experiments on trip package selection, marketing effectiveness, and sales forecasting three ML algorithms were applied: Decision Tree, Random Forest, and Naive Bayes. …”
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  3. 3
    Hidden markov model for decision making among heterogeneous systems in intelligent building

    Hidden markov model for decision making among heterogeneous systems in intelligent building by Abba, Babakura

    Published 2014
    “…The framework of Perumal et al. (2013) was improved by replacing the ECA with the HMM and implementing the framework in the intelligent building.…”
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  4. 4
    Predicting Breast Cancer Intelligently with Machine Learning Techniques

    Predicting Breast Cancer Intelligently with Machine Learning Techniques by Manimozhi, I., Laksmi, D.

    Published 2026
    “…Multiple machine learning algorithms, such as Support Vector Machine (SVM), Random Forest, Naïve Bayes, Logistic Regression, and K-Nearest Neighbors (KNN), are implemented and compared. …”
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  5. 5
    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain

    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain by Mohammad Asif , Hossain

    Published 2022
    “…The selection would be made based on the hybrid machine learning (ML) algorithm. A fuzzy-based Naive Bayes algorithm has been used in this case. …”
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  6. 6
    Performance Prediction of Compulsory Subjects and Recommendation of Subject Options for China’s New College Entrance Examination

    Performance Prediction of Compulsory Subjects and Recommendation of Subject Options for China’s New College Entrance Examination by Long, Wang

    Published 2026
    “…Four machine learning algorithms: Naïve Bayes (NB), Decision Tree (DT), Artificial Neural Networks (ANNs), and Support Vector Machines (SVMs) were evaluated using accuracy, precision, recall, F1 score, and Matthews Correlation Coefficient (MCC). …”
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