Web and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28–30, 2025, Proceedings, Part I

Summary

The four-volume set LNCS constitutes the refereed proceedings of the 9th International Joint Conference on Web and Big Data, APWeb-WAIM 2025, held in Shenyang, China, during August 28–30, 2025.
The 136 full papers and 15 short papers presented in these proceedings were carefully reviewed and selected from 472 submissions. The papers are organized in the following topical sections:
Part I: Data Mining I; Machine Learning I; Information Retrieval and Knowledge Management I; Graph Data Management andAnalytics I; Complex Data Management.
Part II: Complex Data Management; Spatial and Temporal Data Management; Data Privacy and Trusted AI; Data Management on New Hardwares; Query Processing and Optimization; Data Mining II.
Part III: Data Mining II; Machine Learning II; Information Retrieval and Knowledge Management II; Graph Data Management andAnalytics II; Big Data Management.
Part IV: Big Data Management; LLM for Data Management; Information Retrieval; Demonstration Paper;  Industry Paper.

Product details

• Assisted by: Richard Chbeir (Editor), Jiajia Li (Editor), Lei Li (Editor), Mengxuan Zhang (Editor), Yanfeng Zhang (Editor), Chuanyu Zong (Editor)
• Publisher: Springer EN
• Languages: English
• Product format: Paperback / Softback
• Release: 02.03.2026
• EAN: 9789819556397
• ISBN: 978-981-9556-39-7
• Illustrations: Approx. 700 p.
• Series: Lecture Notes in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Big Data, machine learning, Data Mining, Datenbanken, angewandte informatik, Bildverarbeitung, Informationstheorie, Wissensbasierte Systeme, Expertensysteme, big data management, Information Retrieval, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Structures and Information Theory, Natural Language Processing, Computer and Information Systems Applications, Data Mining and Knowledge Discovery, recommender systems, information extraction, Knowledge Graphs, Representation Learning, Query processing and optimization, Data management on new hardwares, Advanced database and Web applications, Data engineering for big remote sensing data, Parallel and distributed data management, Block chain models and applications, Spatial and temporal databases, Streams, complex event processing, Security, privacy, and trusted AI, Graph data, RDF, social networks, Graph and social network analysis