Data Analytics

31st British International Conference on Databases, BICOD 2017, London, UK, July 10–12, 2017, Proceedings

  • Andrea Calì
  • Peter Wood
  • Nigel Martin
  • Alexandra Poulovassilis
Conference proceedings BICOD 2017
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10365)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Keynote

    1. Front Matter
      Pages 1-1
    2. Sihem Amer-Yahia
      Pages 3-6
  3. Data Wrangling and Data Integration

    1. Front Matter
      Pages 7-7
    2. Mashael Aljubairah, Sandra Sampaio, Hapsoro Adi Permana, Pedro Sampaio
      Pages 9-22
    3. Michael Scriney, Martin F. O’Connor, Mark Roantree
      Pages 23-35
    4. Alex Bogatu, Norman W. Paton, Alvaro A. A. Fernandes
      Pages 36-48
  4. Data Analysis and Data Mining

    1. Front Matter
      Pages 63-63
    2. Warit Wipulanusat, Kriengsak Panuwatwanich, Rodney A. Stewart
      Pages 78-89
    3. Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein
      Pages 94-98
  5. Graph Data Querying and Analysis

    1. Front Matter
      Pages 99-99
    2. Andrei Lebedev, JooYoung Lee, Victor Rivera, Manuel Mazzara
      Pages 101-105
  6. Multidimensional Data and Data Quality

    1. Front Matter
      Pages 111-111
    2. Alfredo Cuzzocrea, Rim Moussa, Achref Laabidi
      Pages 113-125
  7. Distributed and Multimedia Data Management

    1. Front Matter
      Pages 131-131

About these proceedings

Introduction

This book constitutes the refereed conference proceedings of the 31st British International Conference on Databases, BICOD 2017 - formerly known as BNCOD (British National Conference on Databases) - held in London, UK, in July 2017.

The 17 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as data cleansing, data integration, data wrangling, data mining and knowledge discovery, graph data and knowledge graphs, intelligent data analysis, approximate and flexible querying, data provenance and ontology-based data access. They are organized in the following topical sections: data wrangling and data integration; data analysis and data mining; graph data querying and analysis; multidimensional data and data quality; and distributed and multimedia data management.

Keywords

approximate querying cloud computing data communication systems data mining database systems flexible querying decision support systems internet ontology-based data access query languages relational database routing protocols semantics sensor networks sensors Social Networks (SN) software engineering wireless sensor networks wireless telecommunication systems world wide web

Editors and affiliations

  • Andrea Calì
    • 1
  • Peter Wood
    • 2
  • Nigel Martin
    • 3
  • Alexandra Poulovassilis
    • 4
  1. 1.Birkbeck, University of LondonLondonUnited Kingdom
  2. 2.Birkbeck, University of LondonLondonUnited Kingdom
  3. 3.Birkbeck, University of LondonLondonUnited Kingdom
  4. 4.Birkbeck, University of LondonLondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-60795-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-60794-8
  • Online ISBN 978-3-319-60795-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349