JOURNAL ARTICLE

Hybrid Machine Learning Based Shill Bidding Fraud Detection System Using Recursive Feature Elimination Method

Keywords:
Computer science Bidding Feature (linguistics) Artificial intelligence Machine learning Business

Metrics

2
Cited By
1.23
FWCI (Field Weighted Citation Impact)
9
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
QR Code Applications and Technologies
Physical Sciences →  Computer Science →  Information Systems
Currency Recognition and Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

SHILL BIDDING FRAUD DETECTION IN ONLINE AUCTIONS USING MACHINE LEARNING ALGORITHMS

Dharmana Sabhita, Setti Sarika

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2025
JOURNAL ARTICLE

SHILL BIDDING FRAUD DETECTION IN ONLINE AUCTIONS USING MACHINE LEARNING ALGORITHMS

Dharmana Sabhita, Setti Sarika

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2025
BOOK-CHAPTER

Online Detection of Shill Bidding Fraud Based on Machine Learning Techniques

Swati GangulySamira Sadaoui

Lecture notes in computer science Year: 2018 Pages: 303-314
JOURNAL ARTICLE

Machine Learning based Intrusion Detection Framework using Recursive Feature Elimination Method

Jenif D Souza W.S.B. Parvathavarthini

Journal:   2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Year: 2020 Pages: 1-4
© 2026 ScienceGate Book Chapters — All rights reserved.