Big Data Analytics and Knowledge Discovery - 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings

Robert Wrembel; Johann Gamper; Gabriele Kotsis; A Min Tjoa; Ismail Khalil

doi:10.1007/978-3-031-39831-5

Big Data Analytics and Knowledge Discovery - 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings

Robert Wrembel (Editor)
, Johann Gamper (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 25th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2023, which took place in Penang, Malaysia, during August 29-30, 2023. The 18 full papers presented together with 19 short papers were carefully reviewed and selected from a total of 83 submissions. They were organized in topical sections as follows: Data quality; advanced analytics and pattern discovery; machine learning; deep learning; and data management.

Original language	English
Publisher	Springer
Volume	14148
ISBN (Print)	978-3-031-39830-8, 978-3-031-39831-5
DOIs	https://doi.org/10.1007/978-3-031-39831-5
Publication status	Published - Aug 2023

Publication series

Name	Lecture Notes in Computer Science (LNCS)
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

10.1007/978-3-031-39831-5

Cite this

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AB - This book constitutes the proceedings of the 25th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2023, which took place in Penang, Malaysia, during August 29-30, 2023. The 18 full papers presented together with 19 short papers were carefully reviewed and selected from a total of 83 submissions. They were organized in topical sections as follows: Data quality; advanced analytics and pattern discovery; machine learning; deep learning; and data management.

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