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Anti-fraud engineering for digital f...

Wang, Cheng.

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Anti-fraud engineering for digital finance = behavioral modeling paradigm /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Anti-fraud engineering for digital finance/ by Cheng Wang.
其他題名:	behavioral modeling paradigm /
作者:	Wang, Cheng.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	viii, 207 p. :illustrations, digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Financial engineering. -
電子資源:	https://doi.org/10.1007/978-981-99-5257-1
ISBN:	9789819952571

Anti-fraud engineering for digital finance = behavioral modeling paradigm /
Wang, Cheng.

Anti-fraud engineering for digital financebehavioral modeling paradigm /[electronic resource] :by Cheng Wang. - Singapore :Springer Nature Singapore :2023. - viii, 207 p. :illustrations, digital ;24 cm.

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.

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.

ISBN: 9789819952571

Standard No.: 10.1007/978-981-99-5257-1doiSubjects--Topical Terms:

550926
Financial engineering.

LC Class. No.: HG176.7

Dewey Class. No.: 658.15

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