Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings (2020)

Min Song; Il-Yeol Song; Gabriele Kotsis; A Min Tjoa; Ismail Khalil

doi:10.1007/978-3-030-59065-9

Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings (2020)

Min Song (Herausgeber*in)
, Il-Yeol Song (Herausgeber*in)
, Gabriele Kotsis (Herausgeber*in)
, A Min Tjoa (Herausgeber*in)
, Ismail Khalil (Herausgeber*in)

Institut für Telekooperation

Publikation: Buch › Sammelwerk

Abstract

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be held online in September 2020. The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, graph mining, and parallel processing.

Originalsprache	Englisch
Erscheinungsort	Cham
Verlag	Springer
Band	12393
ISBN (Print)	978-3-030-59064-2
DOIs	https://doi.org/10.1007/978-3-030-59065-9
Publikationsstatus	Veröffentlicht - Sep. 2020

Publikationsreihe

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

Wissenschaftszweige

202038 Telekommunikation
102 Informatik
102002 Augmented Reality
102006 Computer Supported Cooperative Work (CSCW)
102013 Human-Computer Interaction
102015 Informationssysteme
102021 Pervasive Computing
102025 Verteilte Systeme
102027 Web Engineering

JKU-Schwerpunkte

Digital Transformation
Sustainable Development: Responsible Technologies and Management

Zugriff auf Dokument

10.1007/978-3-030-59065-9

Dieses zitieren

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