Content based fraudulent website detection using supervised machine learning techniques
Fraudulent websites pose as legitimate sources of information, goods, product and services are propagating and resulted in loss of billions of dollars. Due to several undesirable impacts of Internet fraud and scam, several studies and approaches are focused to identify fraudulent Internet websites,...
Saved in:
Main Authors: | , , , |
---|---|
格式: | Conference or Workshop Item |
出版: |
2018
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/81884/ http://dx.doi.org/10.1007/978-3-319-76351-4_30 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|