Skip to main content
SpringerLink
Log in
Book cover

Advances in Feature Selection for Data and Pattern Recognition

  • Book
  • © 2018

Overview

Editors:
  1. Urszula Stańczyk

    1. Silesian University of Technology , Gliwice, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Beata Zielosko

    1. University of Silesia in Katowice , Katowice, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Lakhmi C. Jain

    1. University of Bournemouth , Poole, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Discusses recent developments and research trends in the field of feature selection and data and pattern recognition
  • Presents theoretical approaches as well as applications
  • Introduces novel propositions, highlighting and discussing properties of objects, analyzing intricacies of processes, and bounds on computational complexity
  • Includes supplementary material: sn.pub/extras

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Advances in Feature Selection for Data and Pattern Recognition: An Introduction

    • Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jain
    Pages 1-9

  3. Nature and Representation of Data

    1. Front Matter

      Pages 11-11
      Download chapter PDF

    2. Attribute Selection Based on Reduction of Numerical Attributes During Discretization

      • Jerzy W. Grzymała-Busse, Teresa Mroczek
      Pages 13-24

    3. Improving Bagging Ensembles for Class Imbalanced Data by Active Learning

      • Jerzy Błaszczyński, Jerzy Stefanowski
      Pages 25-52

    4. Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks

      • João Roberto Bertini Junior, Maria do Carmo Nicoletti
      Pages 53-71

    5. Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach

      • Beata Zielosko, Krzysztof Żabiński
      Pages 73-93

  4. Ranking and Exploration of Features

    1. Front Matter

      Pages 95-95
      Download chapter PDF

    2. Generational Feature Elimination and Some Other Ranking Feature Selection Methods

      • Wiesław Paja, Krzysztof Pancerz, Piotr Grochowalski
      Pages 97-112

    3. Ranking-Based Rule Classifier Optimisation

      • Urszula Stańczyk
      Pages 113-131

    4. Attribute Selection in a Dispersed Decision-Making System

      • Małgorzata Przybyła-Kasperek
      Pages 133-162

    5. Feature Selection Approach for Rule-Based Knowledge Bases

      • Agnieszka Nowak-Brzezińska
      Pages 163-182

  5. Image, Shape, Motion, and Audio Detection and Recognition

    1. Front Matter

      Pages 183-183
      Download chapter PDF

    2. Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data

      • Annamária Szenkovits, Regina Meszlényi, Krisztian Buza, Noémi Gaskó, Rodica Ioana Lung, Mihai Suciu
      Pages 185-202

    3. Shape Descriptions and Classes of Shapes. A Proximal Physical Geometry Approach

      • James Francis Peters, Sheela Ramanna
      Pages 203-225

    4. Comparison of Classification Methods for EEG Signals of Real and Imaginary Motion

      • Piotr Szczuko, Michał Lech, Andrzej Czyżewski
      Pages 227-239

    5. Application of Tolerance Near Sets to Audio Signal Classification

      • Ashmeet Singh, Sheela Ramanna
      Pages 241-266

  6. Decision Support Systems

    1. Front Matter

      Pages 267-267
      Download chapter PDF

    2. Visual Analysis of Relevant Features in Customer Loyalty Improvement Recommendation

      • Katarzyna A. Tarnowska, Zbigniew W. Raś, Lynn Daniel, Doug Fowler
      Pages 269-293

    3. Evolutionary and Aggressive Sampling for Pattern Revelation and Precognition in Building Energy Managing System with Nature-Based Methods for Energy Optimization

      • Jarosław Utracki, Mariusz Boryczka
      Pages 295-319
Back to top

Keywords

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, professorsand practitioners.

Editors and Affiliations

  • Silesian University of Technology , Gliwice, Poland

    Urszula Stańczyk

  • University of Silesia in Katowice , Katowice, Poland

    Beata Zielosko

  • University of Bournemouth , Poole, United Kingdom

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Advances in Feature Selection for Data and Pattern Recognition

  • Editors: Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jain

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-67588-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-67587-9Published: 27 November 2017

  • Softcover ISBN: 978-3-319-88452-3Published: 01 September 2018

  • eBook ISBN: 978-3-319-67588-6Published: 16 November 2017

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XVIII, 328

  • Number of Illustrations: 17 b/w illustrations, 20 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Pattern Recognition, Data Mining and Knowledge Discovery

Publish with us

Policies and ethics

Back to top

Search

Navigation