Big Data and Smart Service Systems presents 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



Autorentext

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 worked there as a post doctor and assistant professor. From 2007 to 2009, he worked as a system engineer in Japan supplying research and development, consultant services of management information system for Toyota Motor Corporation, Japan Display Inc. (Hitachi Displays, Ltd.), Bank of Tokyo-Mitsubishi UFJ, etc. Since 2009, he has joined the State Key Laboratory of Management and Control for Complex Systems. His research interest covers sensor networks, human factor engineering, modeling and simulation of operator or organizational behavior, management information systems, cloud computing, etc. In recent years, he has published about 50 papers in academic journals and conferences.



Klappentext

Big Data and Smart Service Systems presents 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



Inhalt

1. Vision-based vehicle queue length detection method and embedded platform 2. Improved information feedback in symmetric dual-channel traffic 3. Secure provable data possession for big data storage 4. The responsive tourism logistics from local public transport domain: the case of Pattaya city 5. Smart cities, urban sensing, and big data: mining geo-location in social networks 6. Parallel public transportation system and its application in evaluating evacuation plans for large-scale activities 7. Predicting financial risk from revenue reports 8. Novel ITS based on space-air-ground collected Big Data 9. Behavior modeling and its application in an emergency management parallel system for chemical plants 10. The next generation of enterprise knowledge management systems for the IT service industry 11. Expertise recommendation and new skill assessment with multicue semantic information 12. On the behavioral theory of the networked firm

Titel
Big Data and Smart Service Systems
EAN
9780128120408
Format
E-Book (epub)
Veröffentlichung
23.11.2016
Digitaler Kopierschutz
Wasserzeichen
Dateigrösse
9.61 MB
Anzahl Seiten
232