Studies in Computational Intelligence

Nature Inspired Computing for Data Science

Editors: Rout, Minakhi, Rout, Jitendra Kumar, Das, Himansu (Eds.)

Free Preview
  • Focuses on the advances in nature-inspired computing and its value in data science
  • Presents contributions from various fields of computational intelligence, machine learning, deep learning, and nature-inspired computing to build intelligent systems for real-time data analytics
  • Includes fundamentals, applications, algorithms and case studies of the advances and research in the fields of nature-inspired computing, data science and engineering
see more benefits

Buy this book

eBook £95.50
price for United Kingdom (gross)
  • ISBN 978-3-030-33820-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £119.99
price for United Kingdom (gross)
  • ISBN 978-3-030-33819-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Table of contents (12 chapters)

Table of contents (12 chapters)
  • An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO Based Optimized Neural Network

    Pages 1-28

    Ripon, Shamim (et al.)

  • Mid-Term Home Health Care Planning Problem with Flexible Departing Way for Caregivers

    Pages 29-56

    Liu, Wenheng (et al.)

  • Performance Analysis of NASNet on Unconstrained Ear Recognition

    Pages 57-82

    Radhika, K. (et al.)

  • Optimization of Performance Parameter for Vehicular Ad-hoc NETwork (VANET) Using Swarm Intelligence

    Pages 83-107

    Ranjan Senapati, Biswa (et al.)

  • Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data

    Pages 109-138

    Ponce, Hiram (et al.)

Buy this book

eBook £95.50
price for United Kingdom (gross)
  • ISBN 978-3-030-33820-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £119.99
price for United Kingdom (gross)
  • ISBN 978-3-030-33819-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Nature Inspired Computing for Data Science
Editors
  • Minakhi Rout
  • Jitendra Kumar Rout
  • Himansu Das
Series Title
Studies in Computational Intelligence
Series Volume
871
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-33820-6
DOI
10.1007/978-3-030-33820-6
Hardcover ISBN
978-3-030-33819-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 295
Number of Illustrations
35 b/w illustrations, 98 illustrations in colour
Topics