Big Data And Smart Service Systems by Xiwei LiuBig Data And Smart Service Systems by Xiwei Liu

Big Data And Smart Service Systems

byXiwei Liu, Rangachari Anand, Gang Xiong

Hardcover | November 24, 2016

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Big Data and Smart Service Systemspresents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design.

The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.

  • Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service
  • Illustrates the concepts, framework, and application of big data and smart service systems
  • Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy
Dr. Xiwei Liu is an associate professor in the State Key Laboratory of Management and Control for Complex Systems Automation Institute, Chinese Academy of Sciences. In 2006, he received Ph.D. degree in human factor engineering from the System Control and Management Laboratory, Nara Institute of Science and Technology, Japan. Then he wo...
Title:Big Data And Smart Service SystemsFormat:HardcoverDimensions:232 pages, 9.41 × 7.24 × 0.98 inPublished:November 24, 2016Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128120134

ISBN - 13:9780128120132


Table of Contents

Chapter 1. Vision-based vehicle queue length detection method and embedded platform

Chapter 2. Improved information feedback in symmetric dual-channel traffic

Chapter 3. Secure provable data possession for big data storage

Chapter 4. The responsive tourism logistics from local public transport domain: the case of Pattaya city

Chapter 5. Smart cities, urban sensing, and big data: mining geo-location in social networks

Chapter 6. Parallel public transportation system and its application in evaluating evacuation plans for large-scale activities

Chapter 7. Predicting financial risk from revenue reports

Chapter 8. Novel ITS based on space-air-ground collected Big Data

Chapter 9. Behavior modeling and its application in an emergency management parallel system for chemical plants

Chapter 10. The next generation of enterprise knowledge management systems for the IT service industry

Chapter 11. Expertise recommendation and new skill assessment with multicue semantic information

Chapter 12. On the behavioral theory of the networked firm