Anti-Fraud Engineering for Digital Finance : Behavioral Modeling Paradigm

by Cheng Wang

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.

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Year of publication:	2023
Authors:	Wang, Cheng
Publisher:	2023.: Singapore : Springer Nature Singapore 2023.: Singapore : Imprint: Springer
Subject:	Learning Automata \| Fraud detection \| Online Payment Services \| Online Social Networks \| Behavioral Modeling \| System Integration \| Network representation learning \| Decision Explainability \| Fraud Prediction \| Online Lending Services \| Betrug \| Fraud \| Social Web \| Social web \| Electronic Commerce \| E-commerce \| E-Learning \| E-learning \| Soziales Netzwerk \| Social network
Description of contents:	Description [swbplus.bsz-bw.de]

Extent:	1 Online-Ressource (VIII, 207 p. 95 illus., 75 illus. in color.)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Jointly published with Tongji University Press Co., Ltd.
ISBN:	978-981-99-5257-1 ; 978-981-99-5256-4 ; 978-981-99-5258-8 ; 978-981-99-5259-5
Other identifiers:	10.1007/978-981-99-5257-1 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014439011