© 2018

Big Data Analytics and Knowledge Discovery

20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings

  • Carlos Ordonez
  • Ladjel Bellatreche
Conference proceedings DaWaK 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11031)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11031)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Graph Analytics

    1. Front Matter
      Pages 1-1
    2. Amine Ghrab, Oscar Romero, Salim Jouili, Sabri Skhiri
      Pages 3-18
    3. Ciprian-Octavian Truică, Olivera Novović, Sanja Brdar, Apostolos N. Papadopoulos
      Pages 19-33
    4. Qaiser Mehmood, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Ratnesh Sahay
      Pages 34-45
  3. Case Studies

    1. Front Matter
      Pages 47-47
    2. Takaya Kawakatsu, Akira Kinoshita, Kenro Aihara, Atsuhiro Takasu, Jun Adachi
      Pages 49-58
    3. Carson K. Leung, Peter Braun, Adam G. M. Pazdor
      Pages 83-97
    4. Ritu Singh, Durga Toshniwal
      Pages 98-108
  4. Classification and Clustering

    1. Front Matter
      Pages 109-109
    2. Yiru Zhang, Tassadit Bouadi, Arnaud Martin
      Pages 111-125
    3. Sonia Fiol-Gonzalez, Cassio Almeida, Simone Barbosa, Hélio Lopes
      Pages 126-136
    4. Benjamin Schelling, Claudia Plant
      Pages 137-151
    5. Yannis Papanikolaou, Grigorios Tsoumakas
      Pages 152-162
  5. Pre-proccesing

    1. Front Matter
      Pages 175-175
    2. Joel Luís Carbonera, Mara Abel
      Pages 177-192
    3. Amine Ganibardi, Chérif Arab Ali
      Pages 193-203

About these proceedings


This book constitutes the refereed proceedings of the 20th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2018, held in Regensburg, Germany, in September 2018.

The 13 revised full papers and 17 short papers presented were carefully reviewed and selected from 76 submissions. The papers are organized in the following topical sections: Graph analytics; case studies; classification and clustering; pre-processing; sequences; cloud and database systems; and data mining.


artificial intelligence association rules big data big datum classification cloud computing clustering clustering algorithms computer systems data mining databases internet MapReduce signal processing social networking social networks world wide web

Editors and affiliations

  • Carlos Ordonez
    • 1
  • Ladjel Bellatreche
    • 2
  1. 1.University of HoustonHoustonUSA
  2. 2.LIAS/ISAE-ENSMAChasseneuil-du-PoitouFrance

Bibliographic information