© 2015

Big Data Analytics and Knowledge Discovery

17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings

  • Sanjay Madria
  • Takahiro Hara
Conference proceedings DaWaK 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9263)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9263)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Similarity Measure and Clustering

    1. Front Matter
      Pages 1-1
    2. Farid Alborzi, Rada Chirkova, Jon Doyle, Yahya Fathi
      Pages 3-14
    3. Emin Aksehirli, Bart Goethals, Emmanuel Müller
      Pages 15-27
    4. Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie
      Pages 28-39
  3. Data Mining

    1. Front Matter
      Pages 41-41
    2. Carson Kai-Sang Leung, Richard Kyle MacKinnon
      Pages 57-69
    3. Junqiang Liu, Jiuyong Li, Shijian Xu, Benjamin C.M. Fung
      Pages 70-81
    4. Claudio Lucchese, Salvatore Orlando, Raffaele Perego
      Pages 82-94
    5. Fatimah B. Abdullahi, Frans Coenen, Russell Martin
      Pages 95-107
    6. Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
      Pages 108-120
  4. Social Computing

    1. Front Matter
      Pages 121-121
    2. Nantia Makrynioti, Vasilis Vassalos
      Pages 136-148
    3. Jayendra Barua, Dhaval Patel, Vikram Goyal
      Pages 149-162
  5. Heterogeneous Networks and Data

    1. Front Matter
      Pages 163-163
    2. Mukul Gupta, Pradeep Kumar, Bharat Bhasker
      Pages 165-177
    3. Yinuo Zhang, Anand Panangadan, Viktor K. Prasanna
      Pages 178-189
    4. Claudia Diamantini, Domenico Potena, Emanuele Storti
      Pages 190-202

About these proceedings


This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, September 2015.

The 31 revised full papers presented were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections similarity measure and clustering; data mining; social computing; heterogeneos networks and data; data warehouses; stream processing; applications of big data analysis; and big data.


Analytics Big data Cloud Clustering Data mining Data science High influence patterns Information leakage Knowledge discovery Linked Open Data (LOD) OLAP Privacy Query rewriting Security Semantic Web Social network Streaming data Text analysis Unsupervised learning Wireless sensor networks

Editors and affiliations

  • Sanjay Madria
    • 1
  • Takahiro Hara
    • 2
  1. 1.University of Science and TechnologyRollaUSA
  2. 2.Osaka UniversityOsakaJapan

Bibliographic information