Document Type
Conference Paper
Department/Unit
Department of Computer Science
Title
Modeling and mining spatiotemporal patterns of infection risk from heterogeneous data for active surveillance planning
Language
English
Publication Date
2014
Source Publication Title
Proceedings of twenty-eighth AAAI Conference on Artificial Intelligence and the twenty-sixth Innovative Applications of Artificial Intelligence Conference [and the Fifth Symposium on Educational Advances in Artificial Intelligence] : 27-31 July 2014, Québec City, Québec, Canada
Start Page
493
End Page
499
Conference Location
Quebec, Canada
Publisher
AAAI Press
ISSN (print)
21595399
ISBN (print)
9781577356615
APA Citation
Yang, B., Guo, H., Yang, Y., Shi, B., Zhou, X., & Liu, J. (2014). Modeling and mining spatiotemporal patterns of infection risk from heterogeneous data for active surveillance planning. Proceedings of twenty-eighth AAAI Conference on Artificial Intelligence and the twenty-sixth Innovative Applications of Artificial Intelligence Conference [and the Fifth Symposium on Educational Advances in Artificial Intelligence] : 27-31 July 2014, Québec City, Québec, Canada, 493-499. Retrieved from https://repository.hkbu.edu.hk/hkbu_staff_publication/4785