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Anti-Fraud Engineering for Digital Finance

Behavioral Modeling Paradigm

Medium: Buch
ISBN: 978-981-99-5256-4
Verlag: Springer Nature Singapore
Erscheinungstermin: 05.12.2023
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9789819952564
  • Medium: Buch
  • ISBN: 978-981-99-5256-4
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 05.12.2023
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2023
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 534 g
  • Seiten: 207
  • Format (B x H x T): 160 x 241 x 17 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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.