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Data Science, Learning by Latent Structures, and Knowledge Discovery

  • Berthold Lausen
  • Sabine Krolak-Schwerdt
  • Matthias Böhmer

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. Anthony C. Atkinson, Andrea Cerioli, Gianluca Morelli, Marco Riani
      Pages 29-42
    3. Miloud Bessafi, Franciscos de A.T. de Carvalho, Philippe Charton, Mathieu Delsaut, Thierry Despeyroux, Patrick Jeanty et al.
      Pages 43-53
  3. Data Science and Clustering

    1. Front Matter
      Pages 55-55
    2. François Bavaud, Christelle Cocco
      Pages 57-67
    3. Mindaugas Bloznelis, Erhard Godehardt, Jerzy Jaworski, Valentas Kurauskas, Katarzyna Rybarczyk
      Pages 69-78
    4. Mindaugas Bloznelis, Erhard Godehardt, Jerzy Jaworski, Valentas Kurauskas, Katarzyna Rybarczyk
      Pages 79-88
    5. Florent Domenach
      Pages 89-99
    6. Thomas Suesse, John Rayner, Olivier Thas
      Pages 133-142
  4. Machine Learning and Knowledge Discovery

    1. Front Matter
      Pages 143-143
    2. Muhammad Umer Khan, Alexandros Nanopoulos, Lars Schmidt-Thieme
      Pages 145-155
    3. Noureddine-Yassine NAIR-BENREKIA, Pascale Kuntz, Frank Meyer
      Pages 157-167
    4. Lambert Pépin, Julien Blanchard, Fabrice Guillet, Pascale Kuntz, Philippe Suignard
      Pages 169-178
    5. Christophe Salperwyck, Vincent Lemaire, Carine Hue
      Pages 179-190
    6. Jörg Stork, Ricardo Ramos, Patrick Koch, Wolfgang Konen
      Pages 191-201
  5. Data Analysis in Marketing

    1. Front Matter
      Pages 203-203
    2. Daniel Baier, Marcin Pełka, Aneta Rybicka, Stefanie Schreiber
      Pages 205-216
    3. Thomas Böttcher, Daniel Baier, Robert Naundorf
      Pages 217-227
    4. Michael Brusch, Sebastian Fischer, Stephan Szuppa
      Pages 229-238
    5. Thomas Müllerleile, Dieter William Joenssen
      Pages 271-281
  6. Data Analysis in Biostatistics and Bioinformatics

    1. Front Matter
      Pages 295-295
    2. Maria Biryukov, Paul Antony, Abhimanyu Krishna, Patrick May, Christophe Trefois
      Pages 297-307
    3. Bruno Daigle, Vladimir Makarenkov, Abdoulaye Baniré Diallo
      Pages 309-318
    4. Christoph Müssel, Ludwig Lausser, Hans A. Kestler
      Pages 329-339
    5. Nicolas Schilling, Andre Busche, Simone Miller, Michael Jungheim, Martin Ptok, Lars Schmidt-Thieme
      Pages 341-352
    6. Valentin Wucher, Denis Tagu, Jacques Nicolas
      Pages 353-364
  7. Data Analysis in Education and Psychology

  8. Data Analysis in Musicology

    1. Front Matter
      Pages 399-399
    2. Daniel Stoller, Matthias Mauch, Igor Vatolkin, Claus Weihs
      Pages 411-421
  9. Data Analysis in Communication and Technology

    1. Front Matter
      Pages 433-433
    2. Adrian Giurca, Daniel Baier, Ingo Schmitt
      Pages 435-444
    3. Philippa A. Hiscock, Athanassios N. Avramidis, Jörg Fliege
      Pages 445-454
    4. Ljubo Mercep, Gernot Spiegelberg, Alois Knoll
      Pages 455-463

About these proceedings

Introduction

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking, and finance; engineering; geography and geology;  archeology, sociology, educational sciences, linguistics, and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.

Keywords

Classification Data Analysis Data Science Data Stream Knowledge Organization Latent Structures

Editors and affiliations

  • Berthold Lausen
    • 1
  • Sabine Krolak-Schwerdt
    • 2
  • Matthias Böhmer
    • 3
  1. 1.University of EssexColchesterUnited Kingdom
  2. 2.University of LuxembourgWalferdangeLuxembourg
  3. 3.University of LuxembourgWalferdangeLuxembourg

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-44983-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-662-44982-0
  • Online ISBN 978-3-662-44983-7
  • Series Print ISSN 1431-8814
  • Series Online ISSN 2198-3321
  • Buy this book on publisher's site