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Removing Camouflage and Revealing Collusion: Leveraging Gan..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,

Wang, Lewen ; Zhao, Haozhe ; Feng, Cunguang... - p. 5104-5115 , 2023

Link: https://dl.acm.org/doi/10.1145/3580305.3599895

RT 
T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3599895&Exemplar=1&LAN=DE
				
A1 Wang, Lewen
A1 Zhao, Haozhe
A1 Feng, Cunguang
A1 Liu, Weiqing
A1 Huang, Congrui
A1 Santoni, Marco
A1 Cristofaro, Manuel
A1 Jafrancesco, Paola
A1 Bian, Jiang
PB ACM
YR 2023
K1 camouflage
K1 fraud
K1 generative adversarial networks
K1 graph neural networks
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Graph algorithms analysis
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Reinforcement learning
K1 Adversarial learning
K1 Applied computing
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
SP 5104
OP 5115
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599895
DO https://dl.acm.org/doi/10.1145/3580305.3599895
SF ELIB - SuUB Bremen

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