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Studies in Computational Intelligence

Nature Inspired Computing for Data Science

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

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  • 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
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eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-33820-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-030-33819-0
  • 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 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 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-33820-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-030-33819-0
  • 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
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