Big Data Analytics and Knowledge Discovery [electronic resource] : 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.
Contributor(s): Song, Min [editor.]
| Song, Il-Yeol [editor.] | Kotsis, Gabriele [editor.] | Tjoa, A Min [editor.] | Khalil, Ismail [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 12393Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XIII, 410 p. 153 illus., 113 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030590659.Subject(s): Database management | Information technology -- Management | Social sciences -- Data processing | Education -- Data processing | Computer systems | Information storage and retrieval systems | Database Management | Computer Application in Administrative Data Processing | Computer Application in Social and Behavioral Sciences | Computers and Education | Computer System Implementation | Information Storage and RetrievalAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online Big data -- Knowledge Discovery -- Query Languages -- Artificial Intelligent.-Machine Learning -- Data Warehousing -- Distributed System -- Visualization -- Data Management -- Multimedia Data. .
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.
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