Scalable Pattern Recognition Algorithms

Applications in Computational Biology and Bioinformatics

  • Pradipta Maji
  • Sushmita Paul

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Pradipta Maji, Sushmita Paul
    Pages 1-42
  3. Classification

  4. Feature Selection

  5. Clustering

  6. Back Matter
    Pages 299-304

About this book


Recent advances in high-throughput technologies have resulted in a deluge of biological information. Yet the storage, analysis, and interpretation of such multifaceted data require effective and efficient computational tools.

This unique text/reference addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The book reviews both established and cutting-edge research, following a clear structure reflecting the major phases of a pattern recognition system: classification, feature selection, and clustering. The text provides a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics.

Topics and features:

  • Reviews the development of scalable pattern recognition algorithms for computational biology and bioinformatics
  • Integrates different soft computing and machine learning methodologies with pattern recognition tasks
  • Discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets
  • Presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images
  • Includes numerous examples and experimental results to support the theoretical concepts described
  • Concludes each chapter with directions for future research and a comprehensive bibliography

This important work will be of great use to graduate students and researchers in the fields of computer science, electrical and biomedical engineering. Researchers and practitioners involved in pattern recognition, machine learning, computational biology and bioinformatics, data mining, and soft computing will also find the book invaluable.


Artificial Intelligence Bioinformatics Computational Biology Computational Intelligence Data Mining Machine Learning Medical Imaging Pattern Recognition Soft Computing

Authors and affiliations

  • Pradipta Maji
    • 1
  • Sushmita Paul
    • 2
  1. 1.Indian Statistical InstituteKolkataIndia
  2. 2.Indian Statistical InstituteKolkataIndia

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-05629-6
  • Online ISBN 978-3-319-05630-2
  • Buy this book on publisher's site
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