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  • © 2019

Data Science and Digital Business

  • Helps readers understand the premises of digital science

  • Covers interdisciplinary aspects of data science

  • Presents case studies with real-world examples from the digital business

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eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-95651-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 169.99
Price excludes VAT (USA)

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-viii
  2. Introduction to Data Science and Digital Business

    • Fausto Pedro García Márquez, Benjamin Lev
    Pages 1-6
  3. Data Management and Visualization Using Big Data Analytics

    • Muhammad Adeel Mannan, Saboohi Mehmood, Muhammad Shafiq, Aqeel-ur-Rehman
    Pages 7-22
  4. Data Science and Digital Business

    • Lei Bu, Feng Wang
    Pages 23-40
  5. After 2017: Managers Exit and Banks Arise

    • Takafumi Mizuno
    Pages 57-63
  6. Deploying a Scalable Data Science Environment Using Docker

    • Sergio Martín-Santana, Carlos J. Pérez-González, Marcos Colebrook, José L. Roda-García, Pedro González-Yanes
    Pages 121-146
  7. Furthering Big Data Utilization in Tourism

    • Masahide Yamamoto
    Pages 157-171
  8. Student Desertion: What Is and How Can It Be Detected on Time?

    • Jonathan Vásquez, Jaime Miranda
    Pages 263-283
  9. Bioelectric Potential Plant

    • Imam Tahyudin, Hidetaka Nambo
    Pages 285-299
  10. False Alarms Management by Data Science

    • Ana María Peco Chacón, Fausto Pedro García Márquez
    Pages 301-316

About this book

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.

Keywords

  • Business Analytics
  • Big Data
  • Data Application
  • Data Management
  • Business Analytics
  • Digital Industries
  • Industry 4.0
  • Internet of Things
  • Engineering Economics

Reviews

“If you have an interest in analytics and visualization, and would like to review several applications of classification models, you may find it an interesting read.” (Robert M. Lynch, Computing Reviews, September 09, 2019)

Editors and Affiliations

  • ETSI Industriales de Ciudad Real, University of Castilla-La Mancha, Ciudad Real, Spain

    Fausto Pedro García Márquez

  • LeBow College of Business, Drexel University, Philadelphia, USA

    Benjamin Lev

About the editors

Dr. Fausto Pedro García Márquez completed his European Doctorate in Engineering at the University of Castilla-La Mancha (UCLM) in 2004. He received his Engineering degree from the University of Murcia, Spain in 1998, and his Technical Engineering degree at UCLM in 1995 and degree in Business Administration and Management at UCLM in 2006. He has also served as Technician in Labor Risk Prevention by UCLM (2000) and Transport Specialist at the Polytechnic University of Madrid, Spain (2001). He was a Senior Manager at Accenture in 2013/2014, and is currently a Senior Lecturer (Full Professor accredited) at UCLM, an Honorary Senior Research Fellow at the University of Birmingham, UK, a Lecturer at the Instituto Europeo de Postgrado and Director of the Ingenium Research Group. He has been the principal investigator in 3 European Projects and 60 national and corporate research projects. He holds international and national patents, and has authored more than 110 international papers and 10 books. His work has been recognized with 3 International Awards in Engineering Management and Management Science. 

Dr. Benjamin Lev is a Professor and Head of Decision Sciences at LeBow College of Business. He holds a PhD in Operations Research from Case Western Reserve University. Prior to joining Drexel University, Dr. Lev held academic and administrative positions at Temple University, the University of Michigan-Dearborn and Worcester Polytechnic Institute. He is the Editor-in-Chief of OMEGA – The International journal of Management Science, the Co-Editor-in-Chief of the International Journal of Management Science and Engineering Management, and serves on several other journal editorial boards. He has published over ten books and numerous articles, and has organized many national and international conferences. 


Bibliographic Information

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-95651-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 169.99
Price excludes VAT (USA)