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Big Data Analytics and Knowledge Discovery

21st International Conference, DaWaK 2019, Linz, Austria, August 26–29, 2019, Proceedings

  • Carlos Ordonez
  • Il-Yeol Song
  • Gabriele Anderst-Kotsis
  • A Min Tjoa
  • Ismail Khalil
Conference proceedings DaWaK 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11708)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11708)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Applications

    1. Front Matter
      Pages 1-1
    2. Mohammad Riazi, Osmar Zaiane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett
      Pages 3-12
    3. Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
      Pages 13-23
    4. Carson K. Leung, Peter Braun, Calvin S. H. Hoi, Joglas Souza, Alfredo Cuzzocrea
      Pages 24-33
  3. Patterns

    1. Front Matter
      Pages 35-35
    2. Joe Wing-Ho Lin, Raymond Chi-Wing Wong
      Pages 37-56
    3. Raj Bhatta, C. I. Ezeife, Mahreen Nasir Butt
      Pages 57-72
    4. Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi
      Pages 73-88
    5. Yuya Nasu, Hiroyuki Kitagawa, Kosuke Nakabasami
      Pages 89-104
    6. Hoang Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier
      Pages 105-115
  4. RDF and Streams

    1. Front Matter
      Pages 117-117
    2. Jam Jahanzeb Khan Behan, Oscar Romero, Esteban Zimányi
      Pages 119-135
    3. Jorge Galicia, Amin Mesmoudi, Ladjel Bellatreche
      Pages 136-150
    4. Amine El Ouassouli, Lionel Robinault, Vasile-Marian Scuturici
      Pages 151-165
    5. Carlos Garcia-Alvarado, Joy Kent, Li Liu, Jay Hum
      Pages 166-175
  5. Big Data Systems

    1. Front Matter
      Pages 177-177
    2. Corinna Giebler, Christoph Gröger, Eva Hoos, Holger Schwarz, Bernhard Mitschang
      Pages 179-188
    3. Yassine Ramdane, Nadia Kabachi, Omar Boussaid, Fadila Bentayeb
      Pages 189-205
  6. Graphs and Machine Learning

    1. Front Matter
      Pages 237-237
    2. Bakshi Rohit Prasad, Sonali Agarwal
      Pages 239-249
    3. Philippe Fournier-Viger, Chao Cheng, Zhi Cheng, Jerry Chun-Wei Lin, Nazha Selmaoui-Folcher
      Pages 250-265
    4. Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan
      Pages 279-295
  7. Databases

    1. Front Matter
      Pages 297-297
    2. Judith Awiti, Alejandro Vaisman, Esteban Zimányi
      Pages 299-309
    3. Kosuke Yuki, Atsushi Keyaki, Jun Miyazaki, Masahide Nakamura
      Pages 310-320
  8. Back Matter
    Pages 321-321

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019.

The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases.

Keywords

artificial intelligence big data big datum cloud computing computer systems data management data mining data warehouses databases MapReduce olap query languages World Wide Web

Editors and affiliations

  1. 1.University of HoustonHoustonUSA
  2. 2.Drexel UniversityPhiladelphiaUSA
  3. 3.Johannes Kepler University of LinzLinzAustria
  4. 4.Software Competence Center HagenbergHagenberg im MühlkreisAustria
  5. 5.Johannes Kepler University of LinzLinzAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-27520-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-27519-8
  • Online ISBN 978-3-030-27520-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site