Fraud Detection and Risk Management in Internet Finance

Qingqing Ren and Hualing Liu
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Qingqing Ren: Goldman Sachs & Co. LLC, USA
Hualing Liu: Shanghai University of International Business and Economics, China

in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.

Abstract: This book focuses on the development of an anti-fraud model designed to detect both individual and group fraud in the internet finance sector. It further proposes a comprehensive risk control system tailored for online credit platforms, aiming to enhance the industry's overall risk management capabilities. Centered around two core themes: credit scoring and fraud detection, the book utilizes advanced algorithms including machine learning, deep learning, and graphical models to study patterns of financial fraud online.

Keywords: Internet Finance; Fraud Detection; Digital Finance; Multi-modal Data; Risk Control; Financial Fraud; Machine Learning; Machine Learning; Deep Learning; Artificial Intelligence; Intelligent Decision-making; Statistics; Anti-fraud; Peer-to-Peer Lending; P2P Lending; Data Mining; Semi-supervised Learning; Random Forest; Graphical Model; Credit Scoring; Group Fraud; Quantile Forest Regression; Text Mining; Class Imbalance; Support Vector Machine; Feature Engineering (search for similar items in EconPapers)
JEL-codes: C45 C88 G18 G23 G32 (search for similar items in EconPapers)
Date: 2026
ISBN: 9789819818457
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