Anti-Fraud Engineering for Digital Finance
Springer Verlag, Singapore
978-981-99-5256-4 (ISBN)
Cheng Wang received the M.S. degree from the Department of Applied Mathematics, Tongji University, in 2006 and the Ph.D. degree from the Department of Computer Science, Tongji University, in 2011. He is currently Professor with the Department of Computer Science, Tongji University. His research interests include cyberspace security and intelligent information services.
lt;p>Overview of Digital Finance Anti Fraud Vertical Association Modeling: Latent Interaction Modeling.- Horizontal Association Modeling: Deep Relation Modeling.- Explicable Integration Techniques: Relative Temporal Position Taxonomy.- Multidimensional Behavior Fusion: Joint Probabilistic Generative Modeling.- Knowledge Oriented Strategies: Dedicated Rule Engine.- Enhancing Association Utility: Dedicated Knowledge Graph.- Associations Dynamic Evolution: Evolving Graph Transformer.
Erscheinungsdatum | 28.12.2023 |
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Zusatzinfo | 75 Illustrations, color; 20 Illustrations, black and white; VIII, 207 p. 95 illus., 75 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
Wirtschaft ► Volkswirtschaftslehre ► Mikroökonomie | |
Schlagworte | behavioral modeling • Decision Explainability • fraud detection • Fraud Prediction • learning automata • Network representation learning • Online Lending Services • Online Payment Services • Online Social Networks • System integration |
ISBN-10 | 981-99-5256-5 / 9819952565 |
ISBN-13 | 978-981-99-5256-4 / 9789819952564 |
Zustand | Neuware |
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