Abstract
Forecasting group behavior is critical to national and international security. Various forecasting methods have been developed previously. However, the majority of them are data-driven methods and rely heavily on the structured data which are often hard to obtain. To overcome the limitation of previous methods, we propose a novel plan recognition method for detecting multiple group behavior based on graph search. We further conduct human experiments in security informatics domain to empirically evaluate our proposed method. The experimental results show the effectiveness of our method.
| Original language | English (US) |
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| Title of host publication | Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 |
| Pages | 184-186 |
| Number of pages | 3 |
| DOIs | |
| State | Published - Sep 22 2011 |
| Event | 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 - Beijing, China Duration: Jul 10 2011 → Jul 12 2011 |
Publication series
| Name | Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 |
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Other
| Other | 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 7/10/11 → 7/12/11 |
Keywords
- group behavior forecasting
- multiple plan recognition
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems
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Cite this
Li, X., Mao, W., Zeng, D., & Zhu, H. (2011). Forecasting group behavior via multiple plan recognition. In Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 (pp. 184-186). [5983997] (Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011). https://doi.org/10.1109/ISI.2011.5983997