Data Science and Digital Business
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Product details:
- Edition number 1st ed. 2019
- Publisher Springer International Publishing
- Date of Publication 16 January 2019
- Number of Volumes 1 pieces, Book
- ISBN 9783319956503
- Binding Hardback
- No. of pages316 pages
- Size 235x155 mm
- Weight 653 g
- Language English
- Illustrations VIII, 316 p. 117 illus. Illustrations, black & white 0
Categories
Long description:
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.
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
Table of Contents:
Advanced Regression Models in Data Science.- Data Science Method in Analysis of Flood Risk in Mississippi Gulf Coast Area.- An efficient bundle-like algorithm for data-driven multi-objective bi-level signal design for traffic networks with hazardous material transportation.- Deploying a scalable Data Science environment using Docker.- Data Science and Conversational Interfaces: A new revolution in Digital Business.- After 2017: Managers Exit and Banks Arise.
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