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Big Data Analytics and Knowledge Discovery - 
      Min Song
    
      Il-Yeol Song
    
      Gabriele Kotsis
    
      A Min Tjoa
    
      Ismail Khalil

Big Data Analytics and Knowledge Discovery

22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings

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

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. Les mer
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Paperback
Legg i
Vår pris: 1181,-

(Paperback) Fri frakt!
Leveringstid: Usikker levering*
*Vi bestiller varen fra forlag i utlandet. Dersom varen finnes, sender vi den så snart vi får den til lager

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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Utgitt:
Forlag: Springer Nature Switzerland AG
Innbinding: Paperback
Språk: Engelsk
Sider: 410
ISBN: 9783030590642
Format: 24 x 16 cm
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Big data.- Knowledge Discovery.- Query Languages.- Artificial Intelligent.-Machine Learning.- Data Warehousing.- Distributed System.- Visualization.- Data Management.- Multimedia Data.