Big Data - BigData 2025 14th International Conference, Held as Part of the Services Conference Federation, SCF 2025, Hong Kong, China, September 27-30, 2025, Proceedings

This book constitutes the refereed proceedings of the 14th International Conference on Big Data, BigData 2025, held as part of the Services Conference Federation, SCF 2025, in Hong Kong, China, during September 27 30, 2025.
The 15 full papers included in this book were carefully reviewed and selected from 25 submissions. The conference aimed to provide an international forum to formally explore various business insights into all kinds of value-added "agent for big data". Big Data is a key enabler in exploring business insights and economics of services.

Zusammenfassung

This book constitutes the refereed proceedings of the 14th International Conference on Big Data, BigData 2025, held as part of the Services Conference Federation, SCF 2025, in Hong Kong, China, during September 27–30, 2025.
The 15 full papers included in this book were carefully reviewed and selected from 25 submissions. The conference aimed to provide an international forum to formally explore various business insights into all kinds of value-added "agent for big data". Big Data is a key enabler in exploring business insights and economics of services.

Produktdetails

• Mitarbeit: Shunli Zhang (Herausgeber), Yu Zhang (Herausgeber), Santoso Wibowo (Herausgeber), Liang-Jie Zhang (Herausgeber), Santoso Wibowo et al (Herausgeber)
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Taschenbuch
• Erscheinungsdatum: 09.12.2025
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik
• EAN: 9783032065230
• ISBN: 978-3-0-3206523-0
• Anzahl Seiten: 222
• Illustration: XII, 222 p. 65 illus., 50 illus. in color.
• Abmessung (Verpackung): 15.5 x 1.3 x 23.5 cm
• Gewicht (Verpackung): 365 g
• Serie: Lecture Notes in Computer Science
• Themen: Künstliche Intelligenz, Computerhardware, Big Data, Artificial Intelligence, Data Lake, data modeling, data analysis, data management, Computer Engineering and Networks, Data storage, Data Centers, Data as a service, Dataflow architecture