Big Data Analysis: New Algorithms for a New Society

  • Nathalie Japkowicz
  • Jerzy Stefanowski

Part of the Studies in Big Data book series (SBD, volume 16)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Nathalie Japkowicz, Jerzy Stefanowski
    Pages 1-31
  3. Ross Sparks, Adrien Ickowicz, Hans J. Lenz
    Pages 33-48
  4. Indrė Žliobaitė, Mykola Pechenizkiy, João Gama
    Pages 91-114
  5. Jan Kralj, Anita Valmarska, Miha Grčar, Marko Robnik-Šikonja, Nada Lavrač
    Pages 115-139
  6. Françoise Fogelman-Soulié, Wenhuan Lu
    Pages 141-158
  7. Eric Paquet, Herna Viktor, Hongyu Guo
    Pages 159-175
  8. Andrew Rau-Chaplin, Zhimin Yao, Norbert Zeh
    Pages 177-206
  9. Mohak Shah
    Pages 207-237
  10. Rui Sarmento, Márcia Oliveira, Mário Cordeiro, Shazia Tabassum, João Gama
    Pages 239-261
  11. Monika Szczerba, Marek S. Wiewiórka, Michał J. Okoniewski, Henryk Rybiński
    Pages 263-283
  12. Michał Dramiński, Michał J. Da̧browski, Klev Diamanti, Jacek Koronacki, Jan Komorowski
    Pages 285-304
  13. Jerzy Stefanowski, Nathalie Japkowicz
    Pages 305-329

About this book


This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area.

It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.


Algorithms Big Data Big Data Analysis Computational Intelligence Society

Editors and affiliations

  • Nathalie Japkowicz
    • 1
  • Jerzy Stefanowski
    • 2
  1. 1.University of OttawaOttawaCanada
  2. 2.Institute of Computing SciencesPoznań University of TechnologyPoznańPoland

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-26987-0
  • Online ISBN 978-3-319-26989-4
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • Buy this book on publisher's site
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