Li Web and Big Data

Web and Big Data

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

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Beschreibung

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.


Autor*in

Jiajia Li

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 trusted AI Query processing and optimization Streams, complex event processing Spatial and temporal databases Block chain models and applications

Stimmen zu »Web and Big Data«

Details

ISBN: 9789819556397
Verlag: Springer Singapore
Erscheinung: 30.01.2026

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