| Autor: |
Kumar, K. Ajith, Nagaraju, V. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2822 Issue 1, p1-7, 7p |
| Abstrakt: |
The aim is to develop the cyber crime Prediction System in a criminal dataset using a Naive Bayes algorithm in comparison with Decision Tree algorithm for increased accuracy value. The Cyber crime Prediction in criminal dataset was done by adopting Naive Bayes and Decision Tree algorithms as two groups. The study compared Naive Bayes and Decision Tree algorithms for cyber-crime prediction on 1055 records, yielding a mean accuracy of 90.94 for Naive Bayes and 85.31 for Decision Tree. The results indicate that Naive Bayes is more accurate, with statistical significance (p<0.05). The study applied machine learning algorithms to predict cyber-crime, demonstrating the efficacy of the Naive Bayes method. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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