© 2015

Discovery Science

18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015. Proceedings

  • Nathalie Japkowicz
  • Stan Matwin
Conference proceedings DS 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9356)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9356)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba
    Pages 9-16
  3. Judith Bjorndahl, Ashley Herman, Richard Hamilton, Howard J. Hamilton, Mark Brigham
    Pages 17-24
  4. Victoria Bobicev, Marina Sokolova
    Pages 25-32
  5. Benedikt Budig, Thomas C. van Dijk
    Pages 33-47
  6. Linus Hermansson, Fredrik D. Johansson, Osamu Watanabe
    Pages 78-85
  7. Dragi Kocev, Michelangelo Ceci
    Pages 86-100
  8. Georg Krempl, Tuan Cuong Ha, Myra Spiliopoulou
    Pages 101-115
  9. Xiao Luo, Revanth Nadanasabapathy, A. Nur Zincir-Heywood, Keith Gallant, Janith Peduruge
    Pages 116-130
  10. Pawel Matuszyk, Myra Spiliopoulou
    Pages 131-145
  11. Mohammad Hossein Nikravan, Ashwani Kumar, Sandra Zilles
    Pages 146-160
  12. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
    Pages 161-169
  13. Aljaž Osojnik, Panče Panov, Sašo Džeroski
    Pages 170-185
  14. Keisuke Otaki, Akihiro Yamamoto
    Pages 186-200
  15. Diogo Pinto, Pedro Costa, Rui Camacho, Vítor Santos Costa
    Pages 201-208
  16. Leander Schietgat, Thomas Fannes, Jan Ramon
    Pages 221-235

About these proceedings


This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2015, held in banff, AB, Canada in October 2015. The 16 long and 12 short papers presendted together with 4 invited talks in this volume were carefully reviewed and selected from 44 submissions. 
The combination of recent advances in the development and analysis of methods for discovering scienti c knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti c domains, on the one hand, with the algorithmic advances in machine learning theory, on the other hand, makes every instance of this joint event unique and attractive.


biomedical knowledge discovery data mining evolving data and models machine learning Web mining active learning artificial intelligence clustering data stream mining evolving datastreams human computer interaction kernel methods knowledge discovery learning from text mining graphs and structures data semi-supervised learning spatio-temporal data stream mining SVM

Editors and affiliations

  • Nathalie Japkowicz
    • 1
  • Stan Matwin
    • 2
  1. 1.University of OttawaOttawaCanada
  2. 2.Faculty of Computer ScienceDalhousie UniversityHALIFAXCanada

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