Solving Large Scale Learning Tasks. Challenges and Algorithms

Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday

  • Stefan Michaelis
  • Nico Piatkowski
  • Marco Stolpe

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9580)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9580)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Mário Cordeiro, João Gama
    Pages 1-41
  3. Nikolaos Panagiotou, Ioannis Katakis, Dimitrios Gunopulos
    Pages 42-84
  4. Volker Klingspor
    Pages 85-95
  5. Arno Siebes
    Pages 96-108
  6. Marco Stolpe, Kanishka Bhaduri, Kamalika Das
    Pages 109-138
  7. Sangkyun Lee, Andreas Holzinger
    Pages 148-167
  8. Jean-François Boulicaut, Marc Plantevit, Céline Robardet
    Pages 168-183
  9. Fosca Giannotti, Lorenzo Gabrielli, Dino Pedreschi, Salvatore Rinzivillo
    Pages 208-220
  10. Nico Piatkowski, François Schnitzler
    Pages 234-250
  11. Christophe Rodrigues, Henry Soldano, Gauvain Bourgne, Céline Rouveirol
    Pages 300-319
  12. Sriraam Natarajan, Ameet Soni, Anurag Wazalwar, Dileep Viswanathan, Kristian Kersting
    Pages 331-345
  13. Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
    Pages 362-376
  14. Elisa Fromont, Bart Goethals
    Pages 377-385
  15. Back Matter
    Pages 387-387

About this book


In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated.

The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.


big data analytics distributed data mining high-performance computing social network analysis spatio-temporal analysis attributed graph mining classification evaluation event detection markov process mining social media mobility data mining ontology single and multiagent learning social media support vector machines supporting teachers user understanding validation wireless sensor networks

Editors and affiliations

  • Stefan Michaelis
    • 1
  • Nico Piatkowski
    • 2
  • Marco Stolpe
    • 3
  1. 1.TU Dortmund DortmundGermany
  2. 2.TU Dortmund DortmundGermany
  3. 3.TU Dortmund DortmundGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-41705-9
  • Online ISBN 978-3-319-41706-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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