Can I read Filipino Online Scam Classification Study on EtoBox?
Filipino Online Scam Classification Study by Erwin Llame is a document available to read on EtoBox.
What is Filipino Online Scam Classification Study about?
This study focuses on classifying Filipino online scam data using decision tree algorithms, specifically comparing Random Tree, J48, and Logistic Model Tree (LMT). The J48 decision tree algorithm demonstrated the highest accuracy and lowest error rates, validating its effectiveness for cybercrime investigations in the Philippines. The research highlights the potential of decision tree algorithms in enhancing data mining applications within criminal investigations, encouraging further exploration of classifi
- Author
- Erwin Llame
- Language
- EN