Big Data Analytics and Knowledge Discovery - 26th International Conference, DaWaK 2024, Naples, Italy, August 26–28, 2024, Proceedings

Robert Wrembel; Silvia Chiusano; Gabriele Kotsis; A Min Tjoa; Ismail Khalil

doi:10.1007/978-3-031-68323-7

Big Data Analytics and Knowledge Discovery - 26th International Conference, DaWaK 2024, Naples, Italy, August 26–28, 2024, Proceedings

Robert Wrembel (Editor), Silvia Chiusano (Editor), Gabriele Kotsis (Editor), A Min Tjoa (Editor), Ismail Khalil (Editor)

Institute of Telecooperation

Research output: Book › Anthology

Abstract

This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2024, which too place in Naples, Italy, during August 26-28, 2024. The 16 full and 20 short papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Modeling and design; entity matching and similarity; classification; machine learning methods and applications; time series; data repositories;optimization; and data quality and applications.

Original language	English
Publisher	Springer Cham
Volume	14912
ISBN (Print)	978-3-031-68322-0
DOIs	https://doi.org/10.1007/978-3-031-68323-7
Publication status	Published - Aug 2024

Publication series

Name	Lecture Notes in Computer Science
ISSN (Print)	0302-9743

Fields of science

202038 Telecommunications
102 Computer Sciences
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102013 Human-computer interaction
102015 Information systems
102021 Pervasive computing
102025 Distributed systems
102027 Web engineering

JKU Focus areas

Digital Transformation
Sustainable Development: Responsible Technologies and Management

Access to Document

10.1007/978-3-031-68323-7

Cite this

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AB - This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2024, which too place in Naples, Italy, during August 26-28, 2024. The 16 full and 20 short papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Modeling and design; entity matching and similarity; classification; machine learning methods and applications; time series; data repositories;optimization; and data quality and applications.

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