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Big Data Analytics and Knowledge Discovery

18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings

  • Sanjay Madria
  • Takahiro Hara

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9829)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9829)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Mining Big Data I

    1. Front Matter
      Pages 1-1
    2. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao
      Pages 3-18
    3. Martin Kirchgessner, Vincent Leroy, Alexandre Termier, Sihem Amer-Yahia, Marie-Christine Rousset
      Pages 19-33
    4. Samrat Gupta, Pradeep Kumar, Bharat Bhasker
      Pages 34-48
  3. Applications of Big Data Mining I

  4. Mining Big Data II

    1. Front Matter
      Pages 97-97
    2. Daniel Trabold, Tamás Horváth
      Pages 99-113
    3. Claudio Lucchese, Salvatore Orlando, Raffaele Perego
      Pages 114-127
    4. Marcos Roriz Junior, Markus Endler, Marco A. Casanova, Hélio Lopes, Francisco Silva e Silva
      Pages 128-142
  5. Applications of Big Data Mining II

    1. Front Matter
      Pages 161-161
    2. Xiufeng Liu, Nadeem Iftikhar, Per Sieverts Nielsen, Alfred Heller
      Pages 193-209
  6. Big Data Indexing and Searching

    1. Front Matter
      Pages 211-211
    2. Giuseppe Amato, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti
      Pages 213-224
    3. Batuhan Kama, Murat Ozturk, Pinar Karagoz, Ismail Hakki Toroslu, Ozcan Ozay
      Pages 225-238
    4. Abdullah Alshehri, Frans Coenen, Danushka Bollegala
      Pages 239-252
  7. Big Data Learning and Security

  8. Graph Databases and Data Warehousing

    1. Front Matter
      Pages 297-297
    2. Adriana Marotta, Alejandro Vaisman
      Pages 299-313
    3. Soumyava Das, Ankur Goyal, Sharma Chakravarthy
      Pages 314-328
    4. Marwa Manaa, Jalel Akaichi
      Pages 329-342
  9. Data Intelligence and Technology

    1. Front Matter
      Pages 343-343
    2. Jayendra Barua, Dhaval Patel
      Pages 345-360
    3. Nabila Berkani, Ladjel Bellatreche, Boualem Benatallah
      Pages 361-375
    4. Mohamed Nadjib Mami, Simon Scerri, Sören Auer, Maria-Esther Vidal
      Pages 376-390
  10. Back Matter
    Pages 391-391

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016.

The 25 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data Learning and Security, Graph Databases and Data Warehousing, Data Intelligence and Technology.

Keywords

business intelligence data warehousing decision support systems indexing temporal databases algorithms big data technology complex networks data mining data quality data security data stream mining encryption ontology opinion mining query optimization semantic modeling social networks time series analysis topic modeling

Editors and affiliations

  • Sanjay Madria
    • 1
  • Takahiro Hara
    • 2
  1. 1.University of Science and Technology RollaUSA
  2. 2.Osaka University OsakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-43946-4
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-43945-7
  • Online ISBN 978-3-319-43946-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site