【Springer 大数据】 Big Data Management (2016)-经管之家官网！

Big Data Management
Editors: Fausto Pedro García Márquez, Benjamin Lev
Provides an interdisciplinary approach to big data, merging the perspectives of contributors from various fields of research
Aimed at engineers, economists, and researchers who employ engineering management in the course of their work
Offers insightful real-life case studies to illustrate the applications of big data in management
This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.
Table of contents
Front Matter
Pages i-xvi
Visualizing Big Data: Everything Old Is New Again
Pages 1-27
Managing Cloud-Based Big Data Platforms: A Reference Architecture and Cost Perspective
Pages 29-45
The Strategic Business Value of Big Data
Pages 47-70
A Review on Big Data Security and Privacy in Healthcare Applications
Pages 71-89
What Is Big Data
Pages 91-101
Big Data for Conversational Interfaces: Current Opportunities and Prospects
Pages 103-121
Big Data Analytics in Telemedicine: A Role of Medical Image Compression
Pages 123-160
A Bundle-Like Algorithm for Big Data Network Design with Risk-Averse Signal Control Optimization
Pages 161-199
Evaluation of Evacuation Corridors and Traffic Big Data Management Strategies for Short-Notice Evacuation
Pages 201-225
Analyzing Network Log Files Using Big Data Techniques
Pages 227-256
Big Data and Earned Value Management in Airspace Industry
Pages 257-267
[hide]
[/hide]