Big Data and Smart Service Systems

Description

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. Content: Front-matter,Copyright,List of Contributors,IntroductionEntitled to full textChapter 1 - Vision-based vehicle queue length detection method and embedded platform, Pages 1-13 Chapter 2 - Improved information feedback in symmetric dual-channel traffic, Pages 15-26 Chapter 3 - Secure provable data possession for big data storage, Pages 27-41 Chapter 4 - The responsive tourism logistics from local public transport domain: the case of Pattaya city, Pages 43-57 Chapter 5 - Smart cities, urban sensing, and big data: mining geo-location in social networks, Pages 59-84 Chapter 6 - Parallel public transportation system and its application in evaluating evacuation plans for large-scale activities, Pages 85-98 Chapter 7 - Predicting financial risk from revenue reports, Pages 99-113 Chapter 8 - Novel ITS based on space-air-ground collected Big Data, Pages 115-137 Chapter 9 - Behavior modeling and its application in an emergency management parallel system for chemical plants, Pages 139-150 Chapter 10 - The next generation of enterprise knowledge management systems for the IT service industry, Pages 151-163 Chapter 11 - Expertise recommendation and new skill assessment with multicue semantic information, Pages 165-177 Chapter 12 - On the behavioral theory of the networked firm, Pages 179-195 Index, Pages 197-201