Advances in Feature Selection for Data and Pattern Recognition

  • Urszula Stańczyk
  • Beata Zielosko
  • Lakhmi C. Jain

Part of the Intelligent Systems Reference Library book series (ISRL, volume 138)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jain
    Pages 1-9
  3. Nature and Representation of Data

    1. Front Matter
      Pages 11-11
    2. Jerzy Błaszczyński, Jerzy Stefanowski
      Pages 25-52
    3. João Roberto Bertini Junior, Maria do Carmo Nicoletti
      Pages 53-71
  4. Ranking and Exploration of Features

    1. Front Matter
      Pages 95-95
    2. Wiesław Paja, Krzysztof Pancerz, Piotr Grochowalski
      Pages 97-112
    3. Urszula Stańczyk
      Pages 113-131
    4. Małgorzata Przybyła-Kasperek
      Pages 133-162
    5. Agnieszka Nowak-Brzezińska
      Pages 163-182
  5. Image, Shape, Motion, and Audio Detection and Recognition

    1. Front Matter
      Pages 183-183
    2. Annamária Szenkovits, Regina Meszlényi, Krisztian Buza, Noémi Gaskó, Rodica Ioana Lung, Mihai Suciu
      Pages 185-202
    3. James Francis Peters, Sheela Ramanna
      Pages 203-225
    4. Piotr Szczuko, Michał Lech, Andrzej Czyżewski
      Pages 227-239
    5. Ashmeet Singh, Sheela Ramanna
      Pages 241-266
  6. Decision Support Systems

  7. Back Matter
    Pages 321-328

About this book


This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.

The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved.

Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.


Intelligent Systems Computational Intelligence Feature Selection Pattern Recognition Classification Data Mining

Editors and affiliations

  • Urszula Stańczyk
    • 1
  • Beata Zielosko
    • 2
  • Lakhmi C. Jain
    • 3
  1. 1.Silesian University of Technology GliwicePoland
  2. 2.University of Silesia in Katowice KatowicePoland
  3. 3.University of Bournemouth PooleUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-67587-9
  • Online ISBN 978-3-319-67588-6
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site
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