Emergency management and smart safety workshop (EM-SS 2016)

Hui Zhang, Yi Liu, Nabil Adam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Data processing/analysis in emergency management is a typical big data scenar io. This workshop will br ing together researchers and practitioners in big data management, cloud computing, par allel algor ithms, internet of things, spatial database, complex event detection, optimization theory, intelligent tr anspor tation systems and social networks to suppor t disaster detection, r esponse and r escue.

Original languageEnglish (US)
Title of host publicationdg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government
Subtitle of host publicationNew Opportunities to Solve Public Problems
EditorsYushim Kim, Shuhua Monica Liu
PublisherAssociation for Computing Machinery
Pages544-545
Number of pages2
ISBN (Electronic)9781450343398
DOIs
StatePublished - Jun 8 2016
Event17th Annual International Conference on Digital Government Research, dg.o 2016 - Shanghai, China
Duration: Jun 8 2016Jun 10 2016

Publication series

NameACM International Conference Proceeding Series
Volume08-10-June-2016

Other

Other17th Annual International Conference on Digital Government Research, dg.o 2016
CountryChina
CityShanghai
Period6/8/166/10/16

Fingerprint

Cloud computing
Disasters
Information management
Big data
Internet of things

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Keywords

  • Digital Government
  • Emergency Management
  • Smar T Safety

Cite this

Zhang, H., Liu, Y., & Adam, N. (2016). Emergency management and smart safety workshop (EM-SS 2016). In Y. Kim, & S. M. Liu (Eds.), dg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government: New Opportunities to Solve Public Problems (pp. 544-545). (ACM International Conference Proceeding Series; Vol. 08-10-June-2016). Association for Computing Machinery. https://doi.org/10.1145/2912160.2912217
Zhang, Hui ; Liu, Yi ; Adam, Nabil. / Emergency management and smart safety workshop (EM-SS 2016). dg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government: New Opportunities to Solve Public Problems. editor / Yushim Kim ; Shuhua Monica Liu. Association for Computing Machinery, 2016. pp. 544-545 (ACM International Conference Proceeding Series).
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Zhang, H, Liu, Y & Adam, N 2016, Emergency management and smart safety workshop (EM-SS 2016). in Y Kim & SM Liu (eds), dg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government: New Opportunities to Solve Public Problems. ACM International Conference Proceeding Series, vol. 08-10-June-2016, Association for Computing Machinery, pp. 544-545, 17th Annual International Conference on Digital Government Research, dg.o 2016, Shanghai, China, 6/8/16. https://doi.org/10.1145/2912160.2912217

Emergency management and smart safety workshop (EM-SS 2016). / Zhang, Hui; Liu, Yi; Adam, Nabil.

dg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government: New Opportunities to Solve Public Problems. ed. / Yushim Kim; Shuhua Monica Liu. Association for Computing Machinery, 2016. p. 544-545 (ACM International Conference Proceeding Series; Vol. 08-10-June-2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Zhang H, Liu Y, Adam N. Emergency management and smart safety workshop (EM-SS 2016). In Kim Y, Liu SM, editors, dg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government: New Opportunities to Solve Public Problems. Association for Computing Machinery. 2016. p. 544-545. (ACM International Conference Proceeding Series). https://doi.org/10.1145/2912160.2912217