Identifying fraud content within social-media using naive bayes algorithm compared over random forest algorithm with improved accuracy

Ikya Palaparti; M. Amanullah

doi:10.1063/5.0232776

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JOURNAL ARTICLE

Identifying fraud content within social-media using naive bayes algorithm compared over random forest algorithm with improved accuracy

Ikya Palaparti M. Amanullah

Year: 2024 Journal: AIP conference proceedings Vol: 3193 Pages: 020193-020193 Publisher: American Institute of Physics

DOI: 10.1063/5.0232776

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Keywords:

Random forest Naive Bayes classifier Algorithm Computer science Social media Content (measure theory) Statistical classification Bayes' theorem Artificial intelligence Bayesian probability Support vector machine Mathematics World Wide Web

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Identifying fraud content within social-media using naive bayes algorithm compared over random forest algorithm with improved accuracy

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