Challenges in Computational Statistics and Data Mining

  • Stan Matwin
  • Jan Mielniczuk

Part of the Studies in Computational Intelligence book series (SCI, volume 605)

Table of contents

  1. Front Matter
    Pages i-x
  2. Mohammad Reza Bonyadi, Zbigniew Michalewicz
    Pages 1-24
  3. Susanne Bornelöv, Jan Komorowski
    Pages 25-38
  4. Michał Dramiński
    Pages 39-52
  5. Łukasz Dębowski
    Pages 53-70
  6. Maik Döring, László Györfi, Harro Walk
    Pages 71-91
  7. Szymon Jaroszewicz, Łukasz Zaniewicz
    Pages 135-154
  8. Marek Kimmel
    Pages 173-188
  9. Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Robert A. Kłopotek, Elżbieta A. Kłopotek
    Pages 189-204
  10. Marzena Kryszkiewicz
    Pages 205-223
  11. Błażej Miasojedow, Wojciech Niemiro, Jan Palczewski, Wojciech Rejchel
    Pages 247-270
  12. Marina Sokolova, Stan Matwin
    Pages 365-380
  13. James R. Thompson
    Pages 381-399

About this book


This volume contains nineteen research papers belonging to the

areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The

book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.


Applications Computational Intelligence Computational Statistics Data Mining Jacek Koronacki

Editors and affiliations

  • Stan Matwin
    • 1
  • Jan Mielniczuk
    • 2
  1. 1.Faculty of Computer ScienceDalhousie UniversityHalifaxCanada
  2. 2.Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland, and Warsaw University of TechnologyWarsawPoland

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-18780-8
  • Online ISBN 978-3-319-18781-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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