Anti-Fraud Engineering for Digital Finance
Produktnummer:
1875993ec26b774789a70ada820e5b7075
Autor: | Wang, Cheng |
---|---|
Themengebiete: | Behavioral Modeling Decision Explainability Fraud Prediction Fraud detection Learning Automata Network representation learning Online Lending Services Online Payment Services Online Social Networks System Integration |
Veröffentlichungsdatum: | 05.12.2023 |
EAN: | 9789819952564 |
Sprache: | Englisch |
Seitenzahl: | 207 |
Produktart: | Gebunden |
Verlag: | Springer Singapore |
Untertitel: | Behavioral Modeling Paradigm |
Produktinformationen "Anti-Fraud Engineering for Digital Finance"
This book offers an introduction to the topic of anti-fraud in digital finance based on the behavioral modeling paradigm. It deals with the insufficiency and low-quality of behavior data and presents a unified perspective to combine technology, scenarios, and data for better anti-fraud performance. The goal of this book is to provide a non-intrusive second security line, rather than replaced with existing solutions, for anti-fraud in digital finance. By studying common weaknesses in typical fields, it can support the behavioral modeling paradigm across a wide array of applications. It covers the latest theoretical and experimental progress and offers important information that is just as relevant for researchers as for professionals.

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