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Studies in Computational Intelligence

Nature-Inspired Computation in Data Mining and Machine Learning

Editors: Yang, Xin-She, He, Xing-Shi (Eds.)

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  • Provides a timely review and summary of the latest developments in nature-inspired computation and its application in data mining and machine learning
  • Discusses key directions in topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, support vector machine, supervised learning, neural networks, logistic regression, feature selection and extraction, image processing and pattern recognition
  • Reviews both theoretical studies and applications, highlighting how nature-inspired computation combines with traditional techniques in data mining and machine learning to produce enhanced performance
  • Includes case studies from various applications and industries
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eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-28553-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-030-28552-4
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
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Softcover 114,39 €
price for Spain (gross)
  • ISBN 978-3-030-28555-5
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be 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 reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Adaptive Improved Flower Pollination Algorithm for Global Optimization

    Pages 1-21

    Rodrigues, Douglas (et al.)

  • Algorithms for Optimization and Machine Learning over Cloud

    Pages 23-46

    Gandhi, Ratnik (et al.)

  • Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks

    Pages 47-76

    Alloghani, Mohamed (et al.)

  • Comparative Analysis of Different Classifiers on Crisis-Related Tweets: An Elaborate Study

    Pages 77-94

    Manna, Sukanya (et al.)

  • An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm

    Pages 95-112

    Alihodzic, Adis (et al.)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-28553-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-030-28552-4
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 114,39 €
price for Spain (gross)
  • ISBN 978-3-030-28555-5
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be 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 Computation in Data Mining and Machine Learning
Editors
  • Xin-She Yang
  • Xing-Shi He
Series Title
Studies in Computational Intelligence
Series Volume
855
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-28553-1
DOI
10.1007/978-3-030-28553-1
Hardcover ISBN
978-3-030-28552-4
Softcover ISBN
978-3-030-28555-5
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XI, 273
Number of Illustrations
21 b/w illustrations, 66 illustrations in colour
Topics

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