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  1. 1
    Classifying Fake Profiles on X with Multinomial Naïve Bayes
    “…, making detection challenging. The proposed solution utilizes a Multinomial Naïve Bayes model, offering…”
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    Conference paper
  2. 2
    HeartInspect: Heart Disease Prediction of an Individual Using Naïve Bayes Algorithm
    “… Naive Bayes-based cardiac disease prediction system as a solution to these problems. The system makes…”
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    Conference paper
  3. 3
    Classification of Mental Health Conditions in Reddit Post using Multinomial Naïve Bayes Algorithm
    “… chatbot-based classification system leveraging the Multinomial Naïve Bayes algorithm to analyze Reddit…”
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    Conference paper
  4. 4
    Sentiment Analysis on Acceptance of New Normal in COVID-19 Pandemic using Naïve Bayes Algorithm
    “… COVID-19. The objective of the study is to explore the capability of the Naïve Bayes algorithm…”
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    Article
  5. 5
    Environmental health in BIMSTEC: the roles of forestry, urbanization, and financial access using LCC theory, DKSE, and quantile regression
    “…In recent years, the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation…”
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    Article
  6. 6
    Prevalence of Work-related Musculoskeletal Disorders (WMSDs) Among Aviation Maintenance Personnel in Malaysia
    “…, particularly those working in the engine bay, were exposed to a high risk of back, shoulder, and wrist region…”
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    Article
  7. 7
    Supervised data mining approach for predicting student performance
    “… attributes in the data. Several predictive modelling techniques of K-Nearest Neighbor, Naïve Bayes, Decision…”
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    Article
  8. 8
    Analysis of airline customer satisfaction using data mining techniques
    “… classifiers, Logistic Regression, Naïve Bayes, and Support Vector Machine to classify the airline customer…”
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    Conference paper
  9. 9
    Analysis of airline customer satisfaction using data mining techniques
    “… classifiers, Logistic Regression, Naïve Bayes, and Support Vector Machine to classify the airline customer…”
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    Conference paper
  10. 10
    A data mining approach for classification of traffic violations types
    “… algorithms (Naive Bayes, Gradient Boosted Trees, and Deep Learning algorithm) in classifying the traffic…”
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    Article
  11. 11
    Machine Learning Techniques for Distinguishing Android Malware Variants
    “… the performance. Two types of Naïve Bayes classifiers, called Multinomial distribution and multivariate Bernoulli…”
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    Article
  12. 12
    Heart Disease Risk Prediction: A Mobile Application Integrating Machine Learning Models
    “… learning algorithms i.e. Support Vector Machine (SVM), Naïve Bayes, and k-nearest Neighbour (k-NN). Results…”
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    Article
  13. 13
    Sentiment Analysis on Umrah Packages Review in Malaysia
    “… in finding better Umrah packages. In this paper, Na ve Bayes, Random Forest, and Support Vector Machine…”
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    Proceedings Paper
  14. 14
    DIABETES DIAGNOSIS AND LEVEL OF CARE FUZZY RULE-BASED MODEL UTILIZING SUPERVISED MACHINE LEARNING FOR CLASSIFICATION AND PREDICTION
    “… learning algorithms namely the J48, Logistic, NaiveBayes Updateable, RandomTree, BayesNet, AdaBoostM1…”
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    Article
  15. 15
    The Best Malaysian Airline Companies Visualization through Bilingual Twitter Sentiment Analysis: A Machine Learning Classification
    “… analysis of Twitter sentiment using the Naïve Bayes algorithm. Naïve Bayes algorithm is a machine learning…”
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    Article
  16. 16
    Predicting Mental Health Disorder on Twitter Using Machine Learning Techniques
    “…. Support Vector Machine (SVM), Decision Tree, and Naive Bayes are three examples of machine learning…”
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    Conference paper
  17. 17
    Intrusion Detection Using Machine Learning for Security and Privacy in Humanitarian Aid System
    “… proposes several machine learning algorithms, including Gaussian Naïve Bayes, decision tree, random forest…”
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    Conference paper
  18. 18
    An analysis on performance of different type classifiers in handling big data sets
    “… algorithm has its own capability in handling different type of multi-variate big data sets. Naive Bayes…”
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    Conference paper
  19. 19
    Predicting automobile insurance fraud using classical and machine learning models
    “…), support vector machine (SVM), tree augmented naïve Bayes (NB), decision tree (DT), random forest (RF…”
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    Article
  20. 20
    Customers’ Opinions on Mobile Telecommunication Services in Malaysia using Sentiment Analysis
    “… Machine (SVM), Naïve Bayes, and Deep Learning. The corpus determines the sentiment from the tweets, either…”
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    Article
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