Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
<p dir="ltr">Most companies nowadays are using digital platforms for the recruitment of new employees to make the hiring process easier. The rapid increase in the use of online platforms for job posting has resulted in fraudulent advertising. The scammers are making money through fra...
Saved in:
| Main Author: | Natasha Akram (20749538) (author) |
|---|---|
| Other Authors: | Rabia Irfan (5894873) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Adila Kousar (20749541) (author), Abdul Qaddos (20748779) (author), Muhammad Imran (282621) (author), Adnan Akhunzada (20151648) (author) |
| Published: |
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
KNNOR: An oversampling technique for imbalanced datasets
by: Ashhadul Islam (16869981)
Published: (2021) -
Oversampling techniques for imbalanced data in regression
by: Samir Brahim Belhaouari (9427347)
Published: (2024) -
K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation
by: Ashhadul Islam (16869981)
Published: (2022) -
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
by: AL HAMMADI, SUMAYYA ABDULLA
Published: (2022) -
Documentary credit problems and fraud. (c1993)
by: Hassan, Mohammad S. Ali
Published: (1993)