Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms
In online advertising, click fraud poses a significant challenge, draining budgets and threatening the industry’s integrity by redirecting funds away from legitimate advertisers. Despite ongoing efforts to combat these fraudulent practices, recent data emphasizes their widespread and pers...
Saved in:
Main Authors: | Reem A. Alzahrani, Malak Aljabri, Rami A. Mustafa Mohammad |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10847816/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance evaluation of perceptible impulsive noise detection methods based on auditory models
by: Arda Özdoğru, et al.
Published: (2025-01-01) -
Photoresponsive Cellulose Nanocrystals
by: Dimitris S Argyropoulos, et al.
Published: (2011-07-01) -
Higher Levels of Postoperative Mobility and Activity as Measured by the AM-PAC 6 Clicks Instrument Are Associated with Improved Outcomes after Lumbar Fusion
by: Parimal Rana, et al.
Published: (2025-01-01) -
Green ultrasound-assisted three-component click synthesis of novel 1H-1,2,3-triazole carrying benzothiazoles and fluorinated-1,2,4-triazole conjugates and their antimicrobial evaluation
by: Rezki Nadjet, et al.
Published: (2017-09-01) -
Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria
by: Oluwaseun Isaac Odufisan, et al.
Published: (2025-03-01)