Big Data Analytics and Knowledge Discovery : 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings / edited by Min Song, Il-Yeol Song, Gabriele Kotsis, A Min Tjoa, Ismail Khalil

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Information Systems and Applications, incl. Internet/Web, and HCI ; 12393 | Springer eBook CollectionPublisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XIII, 410 p. 153 illus., 113 illus. in color.)ISBN:

9783030590659

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Additional physical formats: 9783030590642 | 9783030590666 | Erscheint auch als: 9783030590642 Druck-Ausgabe | Erscheint auch als: 9783030590666 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-59065-9Online resources:

Summary: Big data -- Knowledge Discovery -- Query Languages -- Artificial Intelligent.-Machine Learning -- Data Warehousing -- Distributed System -- Visualization -- Data Management -- Multimedia Data. .Summary: 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.PPN: PPN: 1734626852Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS | ZDB-2-SEB

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