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Studies in Big Data

Data Science and Big Data: An Environment of Computational Intelligence

Editors: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)

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  • Discusses implementations and case studies
  • Identifies the best design practices
  • Assesses data analytics business models and practices in industry, health care, administration and business
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eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-319-53474-9
  • 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 978-3-319-53473-2
  • 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
Softcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-85162-4
  • 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 presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Large-Scale Clustering Algorithms

    Pages 3-28

    Langone, Rocco (et al.)

  • On High Dimensional Searching Spaces and Learning Methods

    Pages 29-48

    Yazdani, Hossein (et al.)

  • Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification

    Pages 49-81

    Patil, Sachin Subhash (et al.)

  • Online Anomaly Detection in Big Data: The First Line of Defense Against Intruders

    Pages 83-107

    Balasingam, Balakumar (et al.)

  • Developing Modified Classifier for Big Data Paradigm: An Approach Through Bio-Inspired Soft Computing

    Pages 109-122

    Badr, Youakim (et al.)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-319-53474-9
  • 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 978-3-319-53473-2
  • 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
Softcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-85162-4
  • 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
Data Science and Big Data: An Environment of Computational Intelligence
Editors
  • Witold Pedrycz
  • Shyi-Ming Chen
Series Title
Studies in Big Data
Series Volume
24
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-53474-9
DOI
10.1007/978-3-319-53474-9
Hardcover ISBN
978-3-319-53473-2
Softcover ISBN
978-3-319-85162-4
Series ISSN
2197-6503
Edition Number
1
Number of Pages
VIII, 303
Number of Illustrations
21 b/w illustrations, 80 illustrations in colour
Topics