Abstract
An international cooperative research project on intelligence and security informatics (ISI) was initialized in 2005 with funding support by the Chinese Academy of Sciences. This abstract summarizes an ongoing study on ISI data analysis using evolutionary computation methods, conducted by the Chinese team of this international project.
Chapter PDF
Similar content being viewed by others
Keywords
- West Nile Virus
- Evolutionary Computation
- Severe Acute Respiratory Syndrome
- Severe Acute Respiratory Syndrome
- Immune Algorithm
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Chen, H.C., Wang, F.Y., Zeng, D.: Intelligence and Security Informatics for Homeland Security Information, Communication, and Transportation. IEEE Transactions on Intelligent Transportation Systems 5(4), 329–341 (2004)
Chen, H.C., Wang, F.Y.: Artificial Intelligence for Homeland Security. IEEE Intelligent Systems 20(5), 12–16 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhao, Db., Yi, Jq. (2006). Analysis of Infectious Disease Data Based on Evolutionary Computation. In: Chen, H., Wang, FY., Yang, C.C., Zeng, D., Chau, M., Chang, K. (eds) Intelligence and Security Informatics. WISI 2006. Lecture Notes in Computer Science, vol 3917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11734628_31
Download citation
DOI: https://doi.org/10.1007/11734628_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33361-6
Online ISBN: 978-3-540-33362-3
eBook Packages: Computer ScienceComputer Science (R0)