Web and Big Data

Beschreibung

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.

Autor*in

Wenjie Zhang

Themen in »Web and Big Data«

Machine Learning Data mining Graph data, RDF, social networks Natural language processing Knowledge graphs Recommender systems Representation learning Parallel and distributed data management Data engineering for big remote sensing data Information retrieval Security, privacy, and trust Query processing and optimization Streams, complex event processing Spatial and temporal databases Block chain models and applications

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