Real-Time Shill Bidding Fraud Detection Empowered With Fussed Machine Learning-Reference-Cited by-同舟云学术

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Real-Time Shill Bidding Fraud Detection Empowered With Fussed Machine Learning

Published:2021 Issue: Volume:9 Page:113612-113621
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abidi Wajhe Ul Husnian^ORCID,Daoud Mohammad Sh.^ORCID,Ihnaini Baha^ORCID,Khan Muhammad Adnan^ORCID,Alyas Tahir^ORCID,Fatima Areej^ORCID,Ahmad Munir^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09491143.pdf?arnumber=9491143

Cited by 13 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. Supervised Machine Learning-Based Prediction of Hydrogen Storage Classes Utilizing Dibenzyltoluene as an Organic Carrier;Molecules;2024-03-13

2. Intelligent Phishing Email Detection with Multi-Feature Analysis (IPED-MFA);2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS);2023-06-19

3. Recognition of E-Commerce through Big Data Classification and Data Mining Techniques Involving Artificial Intelligence;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01

4. An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions;Symmetry;2023-05-23

5. Integration of Blockchain and Auction Models: A Survey, Some Applications, and Challenges;IEEE Communications Surveys & Tutorials;2023

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