A Comparative Study on Fake Job Post Prediction Using Different Data mining Techniques
Author:
Affiliation:
1. Green University of Bangladesh,Dept. of CSE,Dhaka,Bangladesh
2. Khulna University of Engineering & Technology,Dept. of CSE,Khulna,Bangladesh
3. International Islamic University Chittagong,Dept. of CSE,Dhaka,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9330807/9331001/09331230.pdf?arnumber=9331230
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Random Forest based Fake Job Detection;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03
2. Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches;IEEE Access;2024
3. Maximising the accuracy of handwritten alphabet recognition using Bayesian regression over random forest;AIP Conference Proceedings;2024
4. Real and Fake Job Classification Using NLP and Machine Learning Techniques;Lecture Notes in Networks and Systems;2024
5. Fake job interpreter: A web based solution for fake job detection;AIP Conference Proceedings;2024
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