TY  - BOOK
AU  - Wang,Shangguang
AU  - Zhou,Ao
ED  - SpringerLink (Online service)
TI  - Collaborate Computing: Networking, Applications and Worksharing: 12th International Conference, CollaborateCom 2016, Beijing, China, November 10–11, 2016, Proceedings 
T2  - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
SN  - 9783319592886
AV  - QA75.5-76.95 
U1  - 025.04 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Information storage and retrieval
KW  - Artificial intelligence
KW  - Application software
KW  - Computer communication systems
KW  - Computer security
KW  - E-commerce
KW  - Information Storage and Retrieval
KW  - Artificial Intelligence
KW  - Information Systems Applications (incl. Internet)
KW  - Computer Communication Networks
KW  - Systems and Data Security
KW  - e-Commerce/e-business
N1  - participatory sensing -- crowdsourcing, and citizen science -- architectures, protocols, and enabling technologies for collaborative computing networks and systems -- autonomic computing and quality of services in collaborative networks, systems, and applications -- collaboration in pervasive and cloud computing environments -- collaboration in data-intensive scientific discovery -- collaboration in social media -- big data and spatio-temporal data in collaborative environments/systems -- collaboration techniques in data-intensive computing and cloud computing; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - This book constitutes the thoroughly refereed proceedings of the 12th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2016, held in Beijing, China, in November 2016. The 66 papers presented were carefully reviewed and selected from 116 submissions and focus on topics such as: participatory sensing, crowdsourcing, and citizen science; architectures, protocols, and enabling technologies for collaborative computing networks and systems; autonomic computing and quality of services in collaborative networks, systems, and applications; collaboration in pervasive and cloud computing environments; collaboration in data-intensive scientific discovery; collaboration in social media; big data and spatio-temporal data in collaborative environments/systems; collaboration techniques in data-intensive computing and cloud computing
UR  - https://doi.org/10.1007/978-3-319-59288-6
ER  -