AI in Banking

AI in Banking

Practical Applications and Case Studies

Shao, Liyu; He, Min; Chen, Qin

Springer Nature Switzerland AG

04/2025

355

Dura

9789819638369

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Part I: Smart Marketing.- Chapter 1. Mobile Banking Potential Monthly Active Customer Mining: Automated Machine Learning Techniques.- Chapter 2. Retail Potential High-value Customer Identification: Graph Neural Network Technology.- Chapter 3. Accurate Recommendation for Banking: Recommender System.- Chapter 4. Assessing the Value of Bank Online Marketing Posts: Reinforcement Learning Techniques.- Chapter 5: Modeling Binary Causal Effects of Related Repayments: Causal Inference Techniques.- Part II: Intelligent Risk Control.- Chapter 6. Telecom Fraud Money Laundering Account Recognition Case: Multiple Machine Learning Techniques.- Chapter 7. Developing a Dialectal Speech Phone Collection Bimodal Robot from Scratch: Intelligent Voice Q&A Technology.- Chapter 8. Chattel Collateral Warehouse Visual Monitoring Project: Image Understanding Technology.- Chapter 9. Personal Loan Delinquency Prediction Project: Bayesian Network Techniques.- Part III: Intelligent Operation.- Chapter 10. Enterprise WeChat Private Traffic Customer Cold Start Program: Automated Control Technology.- Chapter 11 Intelligent Inspection Robot for Commercial Bank Data Centers: Computer Vision Technology.
reinforcement learning;Machine learning;deep learning;artificial intelligence;data science;natural language understanding;Bank risk management;bank precision marketing