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Anti-Fraud Engineering for Digital Finance : Behavioral Modeling Paradigm / / by Cheng Wang



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Autore: Wang Cheng <1370-1415, > Visualizza persona
Titolo: Anti-Fraud Engineering for Digital Finance : Behavioral Modeling Paradigm / / by Cheng Wang Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (213 pages)
Disciplina: 910.5
Soggetto topico: Social sciences - Data processing
Economics - Psychological aspects
Computer Application in Social and Behavioral Sciences
Behavioral Finance
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Anti-Fraud Engineering for Digital Finance  Visualizza cluster
ISBN: 981-9952-57-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910768442003321
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Serie: Economics and Finance Series (Springer Nature Singapore)