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Big Data Analytics and Knowledge Discovery

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

  • Conference proceedings
  • © 2020

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12393)

Included in the following conference series:

Conference proceedings info: DaWaK 2020.

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Table of contents (30 papers)

  1. Position Paper

  2. Applications

  3. Big Data/Data Lake

  4. Data Mining

Other volumes

  1. Big Data Analytics and Knowledge Discovery

Keywords

About this book

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.

Editors and Affiliations

  • Department of Library and Information, Yonsei University, Seoul, Korea (Republic of)

    Min Song

  • Drexel University, Philadelphia, USA

    Il-Yeol Song

  • Johannes Kepler University of Linz, Linz, Austria

    Gabriele Kotsis, Ismail Khalil

  • Software Competence Center Hagenberg (Au), Vienna, Austria

    A Min Tjoa

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