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International Series on Computer Entertainment and Media Technology

Big Data Applications and Use Cases

Editors: Hung, Patrick C. K. (Ed.)

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  • Outlines different use cases for big data applications and technologies in supporting business intelligence, a cross discipline of computer science and business
  • Includes contributions from leading researchers and practitioners, providing readers with a theoretical and practical understanding of the challenges facing big data today and beyond
  • Surveys big data and dataset core concepts and principles
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eBook 96,29 €
price for Spain (gross)
  • ISBN 978-3-319-30146-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-30144-0
  • 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
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-80731-7
  • 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 different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business. 


About the authors

Patrick C. K. Hung is an Associate Professor at the Faculty of Business and Information Technology in University of Ontario Institute of Technology, Canada and an Honorary International Chair Professor at the Department of Electronic Engineering in National Taipei University of Technology, Taiwan. Patrick has worked with Boeing Research and Technology on aviation services-related research with two patents on mobile network dynamic workflow system. He is also a Visiting Professor at University of Sao Paulo, Brazil. In addition, he was an Adjunct Professor at Wuhan University, a Visiting Professor at the Shizuoka University and University of Aizu in Japan, a Guest Professor in University of Innsbruck in Austria, University of Trento and University of Milan in Italy. Before that, he was a Research Scientist with Commonwealth Scientific and Industrial Research Organization in Australia as well as he worked as a software engineer in industry in North America. He is a founding committee member of the IEEE International Conference of Web Services (ICWS), IEEE International Conference on Services Computing (SCC), and IEEE BigData Congress (BigData Congress). He is also an Associate Editor of the IEEE Transactions on Services Computing, and a Coordinating Editor of the Information Systems Frontiers.

Reviews

“This book would be of interest to researchers and practitioners in the data analytics field. It examines the characteristics of big data; the uses of big data, including government, marketing, insurance, the Internet of Things, and healthcare; and different analytic approaches. The book is reasonably well organized and provides examples of the application of data analysis to various public and private sector organizations. Sufficient references are provided.” (Computing Reviews, August, 2017) 


Table of contents (9 chapters)

Table of contents (9 chapters)
  • Introduction to Big Data

    Pages 1-15

    Rafferty, William (et al.)

  • A Bloom Filter-Based Approach for Supporting the Representation and Membership Query of Multidimensional Dataset

    Pages 17-31

    Wang, Zhu (et al.)

  • Automatic Speech and Singing Discrimination for Audio Data Indexing

    Pages 33-47

    Tsai, Wei-Ho (et al.)

  • Exploring the Feature Selection-Based Data Analytics Solutions for Text Mining Online Communities by Investigating the Influential Factors: A Case Study of Programming CQA in Stack Overflow

    Pages 49-93

    Zhou, Shu (et al.)

  • Temporal Event Tracing on Big Healthcare Data Analytics

    Pages 95-108

    Lin, Chin-Ho (et al.)

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-3-319-30146-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-30144-0
  • 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
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-80731-7
  • 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
Big Data Applications and Use Cases
Editors
  • Patrick C. K. Hung
Series Title
International Series on Computer Entertainment and Media Technology
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-30146-4
DOI
10.1007/978-3-319-30146-4
Hardcover ISBN
978-3-319-30144-0
Softcover ISBN
978-3-319-80731-7
Series ISSN
2364-947X
Edition Number
1
Number of Pages
VI, 214
Number of Illustrations
8 b/w illustrations, 62 illustrations in colour
Topics