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Fuzzy C-Means for Fraud Detection in Large Transaction Data Sets

Referentgranskad
DOI
10.1109/FUZZ-IEEE.2018.8491498
Christer Carlsson; Markku Heikkilä; Xiaolu Wang
2018 IEEE International Conference on Fuzzy Systems (FUZZ)2018Publicationer information ikon

Food fraud detection and reporting by food control officers in Finland

Referentgranskad
Öppen tillgång
DOI
10.1080/09603123.2023.2236977
Joenperä, Jasmin; Lundén, Janne
International Journal of Environmental Health Research2024Publicationer information ikon

Fraud detection in capital markets: A novel machine learning approach

Referentgranskad
DOI
10.1016/j.eswa.2023.120760
Yi, Ziwei; Cao, Xinwei; Pu, Xujin; Wu, Yiding; Chen, Zuyan; Khan, Ameer Tamoor; Francis, Adam; Li, S...
Expert systems with applications2023Publicationer information ikon

Hybrid Neural Network Methods for the Detection of Credit Card Fraud

Referentgranskad
DOI
10.1002/spy2.500
Al-Khasawneh, Mahmoud Ahmad; Faheem, Muhammad; Alsekait, Deema Mohammed; Abubakar, Adamu; Issa, Ghas...
Security and Privacy2025Publicationer information ikon

Graph-Based Fraud Detection with the Free Energy Distance

Referentgranskad
DOI
10.1007/978-3-030-36683-4_4
Courtain, Sylvain; Lebichot, Bertrand; Kivimäki, Ilkka; Saerens, Marco
Studies in Computational Intelligence2020Publicationer information ikon

Detecting organized eCommerce fraud using scalable categorical clustering

Referentgranskad
Öppen tillgång
DOI
10.1145/3359789.3359810
Marchal, Samuel; Szyller, Sebastian
Annual Computer Security Applications Conference2019Publicationer information ikon

New horizons and developments in the field of public governance, regulatory mechanisms, and fraud detection in the light of macroeconomic imperatives

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DOI
10.22495/jgrv13i2sieditorial
Hundal, Shabnamjit
Journal of governance and regulation2024Publicationer information ikon

Optimizing Academic Certificate Management with Blockchain and Machine Learning : A Novel Approach Using Optimistic Rollups and Fraud Detection

Referentgranskad
Öppen tillgång
DOI
10.1109/ACCESS.2024.3486029
Tan-Vo, Khoa; Pham, Khanh; Huynh, Phu; Thi, Mong Thy Nguyen; Ta, Thu Thuy; Nguyen, Thu; Nguyen-Hoang...
IEEE Access2024Publicationer information ikon

AI-Driven Fraud Detection and Prevention in Decentralized Finance

Referentgranskad
DOI
10.4018/979-8-3693-6321-8.ch004
Narayan, Madhusudan; Shukla, Pooja; Kanth, Rajeev
Advances in Finance, Accounting, and Economics2024Publicationer information ikon

Fraud Detection in Communication Networks Using Neural and Probabilistic Methods

Referentgranskad
Taniguchi, M.; Haft, M.; Hollmén, J.; Tresp, V.
-1998

Fuzzy C-Means for Fraud Detection in Large Transaction Data Sets

Referentgranskad
DOI
10.1109/FUZZ-IEEE.2018.8491498
2018

Food fraud detection and reporting by food control officers in Finland

Referentgranskad
Öppen tillgång
DOI
10.1080/09603123.2023.2236977
2024

Fraud detection in capital markets: A novel machine learning approach

Referentgranskad
DOI
10.1016/j.eswa.2023.120760
2023

Hybrid Neural Network Methods for the Detection of Credit Card Fraud

Referentgranskad
DOI
10.1002/spy2.500
2025

Graph-Based Fraud Detection with the Free Energy Distance

Referentgranskad
DOI
10.1007/978-3-030-36683-4_4
2020

Detecting organized eCommerce fraud using scalable categorical clustering

Referentgranskad
Öppen tillgång
DOI
10.1145/3359789.3359810
2019

New horizons and developments in the field of public governance, regulatory mechanisms, and fraud detection in the light of macroeconomic imperatives

Öppen tillgång
DOI
10.22495/jgrv13i2sieditorial
2024

Optimizing Academic Certificate Management with Blockchain and Machine Learning : A Novel Approach Using Optimistic Rollups and Fraud Detection

Referentgranskad
Öppen tillgång
DOI
10.1109/ACCESS.2024.3486029
2024

AI-Driven Fraud Detection and Prevention in Decentralized Finance

Referentgranskad
DOI
10.4018/979-8-3693-6321-8.ch004
2024

Fraud Detection in Communication Networks Using Neural and Probabilistic Methods

Referentgranskad
1998