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

Ikya Palaparti; M. Amanullah

doi:10.1063/5.0232784

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

Ikya Palaparti M. Amanullah

Year: 2024 Journal: AIP conference proceedings Vol: 3193 Pages: 020216-020216 Publisher: American Institute of Physics

DOI: 10.1063/5.0232784

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Keywords:

Naive Bayes classifier Algorithm Computer science Social media Bayes' theorem Statistical classification Artificial intelligence Bayesian probability Support vector machine 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 XGboost algorithm with improved accuracy

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