1.

Record Nr.

UNISA996511870503316

Titolo

Web and Big Data . Part I : 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings / / Bohan Li [and five others] (editors)

Pubbl/distr/stampa

Cham, Switzerland : , : Springer, , [2023]

©2023

ISBN

3-031-25158-X

Edizione

[First edition.]

Descrizione fisica

1 online resource (589 pages)

Collana

Lecture Notes in Computer Science Series ; ; Volume 13421

Disciplina

005.1

Soggetti

Application software - Development

Big data

Computer networks - Access control

Computer networks - Management

Database management

World Wide Web - Technological innovations

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Research tracks. Big Data Analytic and Management -- Advanced database and web applications -- Cloud Computing and Crowdsourcing -- Data Mining -- Graph Data and Social Networks -- Information Extraction and Retrieval -- Knowledge Graph -- Machine Learning -- Query processing and optimization -- Recommender Systems -- Security, privacy, and trust& Blockchain data management and applications -- Spatial and multi-media data -- Demo papers.

Sommario/riassunto

This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022. The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval,



Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.