Intelligent Systems Reference Library

Advances in Feature Selection for Data and Pattern Recognition

Editors: Stanczyk, Urszula, Zielosko, Beata, Jain, Lakhmi C. (Eds.)

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  • 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
  •  
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-67588-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-67587-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-88452-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • Advances in Feature Selection for Data and Pattern Recognition: An Introduction

    Stańczyk, Urszula (et al.)

    Pages 1-9

  • Attribute Selection Based on Reduction of Numerical Attributes During Discretization

    Grzymała-Busse, Jerzy W. (et al.)

    Pages 13-24

  • Improving Bagging Ensembles for Class Imbalanced Data by Active Learning

    Błaszczyński, Jerzy (et al.)

    Pages 25-52

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

    Bertini Junior, João Roberto (et al.)

    Pages 53-71

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

    Zielosko, Beata (et al.)

    Pages 73-93

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-67588-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-67587-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-88452-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Feature Selection for Data and Pattern Recognition
Editors
  • Urszula Stanczyk
  • Beata Zielosko
  • Lakhmi C. Jain
Series Title
Intelligent Systems Reference Library
Series Volume
138
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-67588-6
DOI
10.1007/978-3-319-67588-6
Hardcover ISBN
978-3-319-67587-9
Softcover ISBN
978-3-319-88452-3
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XVIII, 328
Number of Illustrations
17 b/w illustrations, 20 illustrations in colour
Topics