Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Machine Learning"
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Link zu diesem Datensatz | https://d-nb.info/1362906883 |
Titel | AI in Banking : Practical Applications and Case Studies / by Liyu Shao, Qin Chen, Min He |
Person(en) |
Shao, Liyu (Verfasser) Chen, Qin (Verfasser) He, Min (Verfasser) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2025 |
Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2025 |
Umfang/Format | Online-Ressource, XXII, 354 p. 264 illus., 7 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9638-36-9 Printed edition:: ISBN: 978-981-9638-38-3 Printed edition:: ISBN: 978-981-9638-39-0 |
Inhalt | 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 |
Persistent Identifier |
URN: urn:nbn:de:101:1-2504120431598.434281929639 DOI: 10.1007/978-981-96-3837-6 |
URL | https://doi.org/10.1007/978-981-96-3837-6 |
ISBN/Einband/Preis | 978-981-96-3837-6 |
Sprache(n) | Englisch (eng) |
Sachgruppe(n) | 330 Wirtschaft |
Online-Zugriff | Archivobjekt öffnen |
