Feature Selection for High-Dimensional Data

  • Verónica Bolón-Canedo
  • Noelia Sánchez-Maroño
  • Amparo Alonso-Betanzos

Table of contents

  1. Front Matter
    Pages i-xv
  2. Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
    Pages 1-12
  3. Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
    Pages 13-28
  4. Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
    Pages 29-60
  5. Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
    Pages 61-94
  6. Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
    Pages 95-124
  7. Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
    Pages 125-132
  8. Back Matter
    Pages 133-147

About this book

Introduction

This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.

 

The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms.

They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data,

intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers.

 

The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.

Keywords

Big Data Big Dimensionality Data Preprocessing Data Reduction Dimensionality Reduction Feature Selection High-Dimensionality Machine Learning

Authors and affiliations

  • Verónica Bolón-Canedo
    • 1
  • Noelia Sánchez-Maroño
    • 2
  • Amparo Alonso-Betanzos
    • 3
  1. 1.Facultad de InformáticaUniversidad de A CoruñaA CoruñaSpain
  2. 2.Facultad de InformáticaUniversidad de A CoruñaA CoruñaSpain
  3. 3.Facultad de InformáticaUniversidad de A CoruñaA CoruñaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-21858-8
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-21857-1
  • Online ISBN 978-3-319-21858-8
  • Series Print ISSN 2365-3051
  • Series Online ISSN 2365-306X
  • About this book
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