Web and Big Data

Wenjie Zhang

ISBN 10: 9819772346 / ISBN 13: 9789819772346

Verlag: Springer Nature Singapore Aug 2024, 2024

Beschreibung

Neuware -The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30¿September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityPart V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 520 pp. Englisch.

Bestandsnummer des Verkäufers 9789819772346

Bibliografische Details

• Titel: Web and Big Data
• Verlag: Springer Nature Singapore Aug 2024
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 9819772346
• ISBN-13: 9789819772346
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 28 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 28 mm
• Gewicht: 779 Gramm

Über diesen Titel

Inhaltsangabe

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30-September 1, 2024.

The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.

The papers are organized in the following topical sections:
Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.

Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.

Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.

Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security

Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.