Big Data and Smart Service Systems
Autor Xiwei Liu, Rangachari Anand, Gang Xiong, Xiuqin Shang, Xiaoming Liuen Limba Engleză Hardback – 21 noi 2016
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
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Specificații
ISBN-13: 9780128120132
ISBN-10: 0128120134
Pagini: 232
Dimensiuni: 191 x 235 x 20 mm
Greutate: 0.62 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128120134
Pagini: 232
Dimensiuni: 191 x 235 x 20 mm
Greutate: 0.62 kg
Editura: ELSEVIER SCIENCE
Public țintă
Graduates and researchers in information science or service science and management.Government officials, enterprise managers, relevant professional personnel and other people who are interested in service science
Cuprins
1. Vision-based vehicle queue length detection method and embedded platform2. Improved information feedback in symmetric dual-channel traffic3. Secure provable data possession for big data storage4. The responsive tourism logistics from local public transport domain: the case of Pattaya city5. Smart cities, urban sensing, and big data: mining geo-location in social networks6. Parallel public transportation system and its application in evaluating evacuation plans for large-scale activities7. Predicting financial risk from revenue reports8. Novel ITS based on space-air-ground collected Big Data9. Behavior modeling and its application in an emergency management parallel system for chemical plants10. The next generation of enterprise knowledge management systems for the IT service industry11. Expertise recommendation and new skill assessment with multicue semantic information12. On the behavioral theory of the networked firm